SDS PODCAST EPISODE 347: HOW TO TELL YOUR STORY FOR CAREER … · An episode we're going to have...
Transcript of SDS PODCAST EPISODE 347: HOW TO TELL YOUR STORY FOR CAREER … · An episode we're going to have...
SDS PODCAST
EPISODE 347:
HOW TO TELL
YOUR STORY
FOR CAREER
SUCCESS
Kirill Eremenko: This is episode number 347 with Career Coach Kerri
Twigg.
Kirill Eremenko: Welcome to the SuperDataScience podcast. My name
is Kirill Eremenko, Data Science Coach and Lifestyle
Entrepreneur. And each week we bring inspiring
people and ideas to help you build your successful
career in data science. Thanks for being here today
and now let's make the complex simple.
Kirill Eremenko: Do you want a tip on how to become the best data
scientist you can possibly be? Well, here's a tip. This
will take two things. Constant learning and growth,
and constant networking and experience exchange.
And the fact that you're listening to this podcast is
already a great step in both directions.
Kirill Eremenko: But I want you to take the leap. I want you to truly
skyrocket your career. And that's why I'm inviting you
to DataScienceGO, our annual data science conference
which we've been running in the US for three years
and this year it's happening in Los Angeles in October
2020.
Kirill Eremenko: You can get your tickets at datasciencego.com. And
there we combine both aspects. You'll learn from
speakers who will teach you about XGBoost, Python,
BERT, and anything and everything that's most
important in data science right now. And you'll also
network with hundreds ... literally hundreds ... of data
scientists from top companies ranging from Tesla,
Google, SpaceX, Teradata, Red Bull, IBM, Ebay and
many more.
Kirill Eremenko: So if you're ready to take this ultimate step towards
the career of your dreams then get your tickets at
datasciencego.com today and I'll see you there.
Kirill Eremenko: Welcome back to SuperDataScience podcast
everybody. Super excited to have you back here on the
show. Today we've got a very fun episode. An episode
we're going to have lots of laughs. I really enjoyed
connecting with Kerri in today's show.
Kirill Eremenko: It's going to be very different to our normal episodes
where we talk about data science and the technical
aspect of things. In this episode we're going to be
talking about your career and how you can be more
fulfilled, more happy in your career.
Kirill Eremenko: In fact, this episode is going to be helpful for
absolutely anybody regardless of whether you're in
data science or not. You can share it with a friend who
might be struggling in their career. I think this can
actually change people's lives.
Kirill Eremenko: So, what you need to know about Kerri. Kerri helps
people use their stories to land ideal work. And don't
worry if you already have your ideal job. This is still
going to be helpful. It'll help you grow your career and
become even more successful, even more fulfilled.
Kirill Eremenko: Kerri gave one of the talks at DataScienceGO 2019 and
it was one of the most well received, most successful
talks there. People really enjoyed what she had to say.
In fact, at the very start of this episode, Kerri will
share a success story of her own where an attendee at
DataScienceGO last year attended her talk and did the
exercises that she recommended. And then this
attendee emailed Kerri on the day when I recorded this
podcast saying that he finally got the job that he
always wanted in the mix of between artificial
intelligence and robotics. And that is something he's
always wanted but he was not able to get. And just by
applying the exercise that Kerri suggested he was able
to do it.
Kirill Eremenko: So you'll hear that story from Kerri herself in a few
minutes. But in a nutshell listen up because this can
be the podcast that ultimately changes the trajectory
of your career.
Kirill Eremenko: We're going to discuss quite a lot of interesting things.
But most importantly Kerri will give you the steps of
her method. So she actually goes and coaches
companies. Gives workshops on this. And here she's
going to be playing all this information absolutely free.
She's going to be giving us the steps of her career
stories method that'll help you take your career to the
next level.
Kirill Eremenko: In fact, one of these steps I did live on the episode so
you'll hear me performing one of the exercises live and
that gave me insights. Already in a couple of minutes
that gave me insights. That's how powerful this stuff
is.
Kirill Eremenko: So without further ado, get ready for knowledge bombs
that will take your career to the next level. And I bring
to you the founder and creator of the Career Stories
method, Kerri Twigg.
Kirill Eremenko: Welcome back to SuperDataScience podcast
everybody. Super pumped to have you back here on
the show. And we've got a very special guest, Kerri
Twigg calling in from Winnipeg Canada. Kerri, how are
you doing?
Kerri Twigg: Oh, wow. I'm great. How are you doing?
Kirill Eremenko: Doing amazing. Very cool. You said Canada's really
cold right now, right?
Kerri Twigg: Oh, yeah. All winter. Sometimes we call it Winterpeg.
Kirill Eremenko: Winterpeg. What state is Winnipeg in?
Kerri Twigg: Well, we don't have states in Canada. We have
provinces, but Manitoba.
Kirill Eremenko: Manitoba.
Kerri Twigg: Yeah, which is just flat. It's just all flat.
Kirill Eremenko: All flat. What do you do there in Manitoba?
Kerri Twigg: In the winter we can skate on our river. I live like two
blocks from a river so I can go ice skating. Sledding,
cross country skiing. So we have all that.
Kerri Twigg: And in the summer it's hot so, you know, camping,
going swimming.
Kirill Eremenko: Oh, wow. Lots of outdoor stuff.
Kerri Twigg: Outdoor stuff, yep.
Kirill Eremenko: Very cool. Well, I'm excited about this podcast because
it's going to be very different to what we normally have
on the show. It's going to be not technical, not data
science, right. This one's going to be career focused.
Kirill Eremenko: First of all, you came to DataScienceGO to present
exactly on this topic. How's your experience with
DataScienceGO?
Kerri Twigg: It was really one of the best conferences I've been to.
Kirill Eremenko: Really?
Kerri Twigg: Yeah. And I was scared because I'm not technical so I
thought, "I don't know if I'll be able to hold a
conversation with these people." The people that I've
met, we are talking to each other like six months later.
I started to feel like maybe you guys are my people.
Kirill Eremenko: That's awesome. Well, this is a chance to speak to
thousands of your people now. This is cool.
Kerri Twigg: Yeah.
Kirill Eremenko: So what made you feel that? How was a conference
with data scientists different to other conferences?
Kerri Twigg: Well, I think so ... because data scientists are into like
you still have that storytelling aspect, right? And
there's an art to it. So I think that you're just like
technical artists. Whereas I might go to like ... I go to
marketing conferences or actuary conferences and
they're like so focused I think on the business side. Or
maybe on the corporate side that there's a different
thing.
Kerri Twigg: And data science is all about failing. So everyone
seems to be really eager to ... I didn't see a lot of
loaded egos, right?
Kirill Eremenko: Uh-huh (affirmative). That's awesome.
Kerri Twigg: Yeah, because you have to fail in order to be good at it.
So, yeah, good conversations.
Kirill Eremenko: That's very cool. Well, could you share a bit about
yourself? So what is it exactly that you do? Because
it's such an interesting field helping people with
careers. What approach do you take in this space?
Kerri Twigg: Yeah, so I help people figure out how to use their
stories in order to land ideal work or to grow their
careers. So, I come from theater so I use a lot of
theater and storytelling methods to help people figure
out what's unique about them. And then how to
communicate that.
Kirill Eremenko: Okay, wow. Very concise and I'm already interested.
So, it's not about just like getting a job and an
interview. It's even if you want to continue in your
career this will help you ... How can this help you if
you want to continue in your career?
Kerri Twigg: Yeah, so even if you want to grow your career ... even if
you want to stay sometimes even employed in the
same job that you have, the ability to know what
projects you want to be part of, how you contribute
helping to share with other people how great you are
at doing something, you need that for a career.
Kerri Twigg: If you think people are watching out for you that are
keeping notes and track of all the things that you're
doing, that's a wild thought. So it's everyone's job in
their own career to keep track of what they're up to
and what they want to do next.
Kerri Twigg: And I imagine in your field the job is changing all the
time. So a job that you got at the beginning may
change over time. So then if you're feeling unhappy
knowing what brings you joy in your work, if you know
your story, you're not going to be really stuck about
what to do next.
Kirill Eremenko: Interesting. Okay, got you. I love the thing we talked
about right before the podcast that you said that
someone at DataScienceGO later messaged you about
how they went. Tell us that story again. How did that
all happen?
Kerri Twigg: Okay. All right. So I got this email today which I think
is serendipity. So a guy he said he was working as an
IT director for a long time and then he decided he
wanted to leave that to learn artificial intelligence and
robotics. And he's 42, right.
Kerri Twigg: He heard about your conference. So he heard of
DataScienceGO and went, "Okay, I'm going to go." And
then he said he came to the talk I did. He sat in the
front row and part of my talk I had everyone stand up
... because a big part of telling stories is how you hold
your body.
Kerri Twigg: So I had everyone standing up and doing power poses
and then doing passive poses, and then what
confidence really looks like. And he said he was
mortified but he did it. And then I did a thing where I
said, "Can you introduce yourself to the person beside
you?" And he said he did. So he introduced himself
like I'm a student. And the other person introduced
themselves.
Kerri Twigg: And then I was like, "If you introduced yourself as your
job title or like what you're doing now that's wrong.
There's more interesting ways to introduce yourself."
Kerri Twigg: So I gave three prompts and then he did. And he said
he introduced himself as ... I'm trying to read the
quote but ... "I'm learning all that I can about
computer vision so I can help robots see so they can
make better decisions."
Kirill Eremenko: Wow, different.
Kerri Twigg: Yeah, but before that he said, "I'm a student." And the
person he said it to, he said they clapped their hands
and gave him high five. And that this changed how he
perceived his journey and that he's been doing really
cool stuff this whole time. Wasn't sharing it. Was just
calling himself a student. And then he ended it with it
and he's like, "This translated into me officially
changing careers and on January first I became a lead
robotics and AI research engineer."
Kirill Eremenko: Wow.
Kerri Twigg: I know, right.
Kirill Eremenko: Amazing.
Kerri Twigg: That was incredible, yeah.
Kirill Eremenko: Oh, wow. Congratulations. That's awesome.
Kerri Twigg: So I was changing lives. Yeah, but you too, right?
Because you created a space...
Kirill Eremenko: Thank you.
Kerri Twigg: ... created a space where someone who's making a
really scary career decision and doing something that
seems wild to come. They had this wild storytelling
career coach there.
Kirill Eremenko: Wow, that's amazing. I love that. I feel that way often.
Even if I can change one person's life like today, that's
already a huge accomplishment. That's already a huge
like I feel my day's successful. And here you have a
live example of somebody who put the things you
taught them into action, and got a great result out of
it.
Kirill Eremenko: So, yeah, that sounds so great to hear.
Kerri Twigg: Yeah. And I don't think it gets taught. So I think we
get taught how to ... I think most of the presentations
at the conference and when people are learning
something new are so technical that they think that
the technical is what's going to get them hired or grow
their career, get them noticed or get them money.
Kirill Eremenko: Yeah.
Kerri Twigg: And then they don't have the storytelling skills so they
can't back it up and nobody knows how incredible
they are in what they're trying to do.
Kirill Eremenko: Can anybody become a storyteller?
Kerri Twigg: Oh, yeah. Well, I think we all are natural storytellers.
Kirill Eremenko: And why do we then limit ourselves? How come we
don't use this natural ability?
Kerri Twigg: So I think that it gets categorized as childish and I
think so often especially in a technical field ... well, it
depends where you work or who you're dealing with ...
but it's so much about the technology and the
programs, and the details. So you think that the
details become more important.
Kerri Twigg: So I think it's that. And it's harder. You have to invest
it. Like everyone can do it but if you never tell stories
... oh, my dog's barking ... then you may not be an
awesome storyteller. And if you aren't great someone
might shut you up and cut you off, and then you don't
share them.
Kirill Eremenko: Yeah, and then it becomes like a vicious cycle. You
don't want to share them even more. You get worse at
it and so on.
Kerri Twigg: Yeah.
Kirill Eremenko: I love your video on LinkedIn. You're very active on
LinkedIn. It's very cool to see because, as you mention,
I see more the technical people. Maybe it's I'm just
biased with the audience that the people that I follow.
But it's really cool to see that you're active on LinkedIn
helping people in this space.
Kirill Eremenko: And one of the videos that you shared where you're
just, I think it's in your kitchen and you're giving
people tips on how to tell their career stories better.
It's so authentic. It's really cool, very refreshing to see
that ... I think even one of the tips you gave was just
like be yourself. Talk how you normally talk and act
how you normally would act. Don't try to put on a
more serious or kind of like a mask that people would
expect from you on that interview or that particular
role that you're in.
Kerri Twigg: Well, exactly. And I just feel like the future of work is
changing and the jobs are changing. And the work that
we're doing is messier and requires more collaboration
than ever. So if you're going out and selling yourself as
something else other than you are and you get hired
on a team, then you have to pretend to be that person
for the rest of the time that you work at a certain
company. Or you're working on a project.
Kerri Twigg: Whereas if you just start off by being real, people know
what they're getting. And then you can solve real
problems because you're not busy trying to be perfect
or too stiff. Right?
Kirill Eremenko: Yeah. And you mentioned this phrase selling yourself.
And I've always kind of had this apprehension towards
selling yourself. It's like you are viewing yourself as a
product or as a thing and you need to kind of make
the best pitch, make the best sale.
Kirill Eremenko: To me that already has some kind of like negative
connotation to it. Can you talk a bit more about that?
What does selling yourself mean in today's world?
Kerri Twigg: Yeah, so I get the growth factor of it. But one way it
works is if you can see yourself as a product ... and I
don't really believe you should totally be a product ...
but if you can see yourself as a product then you may
not stop yourself from talking about yourself.
Kerri Twigg: Like kind of having that bird's eye view makes you feel
less self-conscious about talking about yourself. So it's
like one way. But the selling is really that I feel like in
today's world of work the person who has the career ...
so not only do we have to have expertise in our area
and know what we're doing ... but we also need to
know what we're really great at and be able to back
that up with solid evidence usually in a story or an
example.
Kerri Twigg: And that's what selling yourself is. Is being able to
communicate that. So if someone says, "Tell me about
a time you used your communication skills to solve a
problem." You should have an answer and be able to
tell someone how you've done that. Because if
everything else is equal ... so if everyone knows the
same program or if everyone's worked on the same
kind of project ... the only difference you have is the
way that you work. And if you can't communicate that
someone who can gets the opportunity.
Kirill Eremenko: Okay, got you. All right, well, on that note I guess it
would be good to transition to your ... if you could
share some insights. So how do you build a career
story? How do you tell it?
Kerri Twigg: Yeah, so the first way, I think the easiest way to do it
and it comes from screenwriting. So get a pack of
index cards like seven. Or use Trello or something if
you don't want a card. And then just ask yourself,
"Well, what am I the most proud of doing in my
career?" And then whatever story pops into your head
write it down.
Kerri Twigg: And then the next day, ask yourself the same
question, "What am I the most proud of doing in my
career?' And do this for seven days. And if you do this
for seven days by the end you're going to get seven
stories.
Kerri Twigg: And then you'll like this part. Then you compare the
stories and you look at what's similar.
Kirill Eremenko: Sorry, every day you have to answer with a different
story?
Kerri Twigg: Yeah, so every day different story.
Kirill Eremenko: Okay.
Kerri Twigg: Yeah. And seven gives your brain a bit of time to come
up with a story you might have forgotten about.
Because it's not even the ones that you're the most ...
like the ones that you share with everyone. But the
one where you're like, "I left work and I'm super proud
of what I did. I made a huge difference that day." Like
those kinds of stories.
Kerri Twigg: Then after seven days, look at them all and identify
what skill you used. Like do you know? Do you have a
proud story?
Kirill Eremenko: For me?
Kerri Twigg: Yeah.
Kirill Eremenko: Okay. The first thing that pops to mind is that we
crossed a million students at SuperDataScience like a
few months ago. Like a million people have signed up
to our courses. I'm sure not everyone has actually
taken the courses or maybe even started the courses.
But out of all of them like a huge portion have been
impacted by the content that we create, the tools that
we discuss, techniques that we show people, and so
on. So I think that's something to be excited about.
That, "Hey, look. We've impacted potentially a million
people." That's really exciting.
Kerri Twigg: Yeah, and then in that ... so in your million ... what
did you enjoy doing to get that million people?
Kirill Eremenko: I really enjoy creating courses which have ... [inaudible
00:20:57] like a story behind them. I enjoy creating
courses on technical topics that are complex and
breaking them down. But not just like, "Okay, here's a
glossary of what this tool is about on every single
formula or whatever else is used, the feature of the
tools."
Kirill Eremenko: No, but it's like a story. There's an interesting data set,
there's a challenge. You pretend at the start like I'll
say, "All right you're a data scientists working for
Coca-Cola or IBM and then you need to solve this
problem. Okay, so how are we going to go about it
using this tool?" And then every tutorial ends like on a
cliffhanger and then by the end of it you're like, "Oh,
yes. Not only did I learn the tool but I've solved this
challenge."
Kirill Eremenko: I like creating exciting, engaging content like that.
Kerri Twigg: Okay. I love it. That's good. It's funny because at first
you were like, "Oh, it's a million people." That's
something to be super proud of. But when we dug into
it, you love coming up with the creative idea and
helping people.
Kirill Eremenko: Yeah.
Kerri Twigg: So then if you told me another story tomorrow, we
might find that every story is about ... maybe some of
them are about hitting those big numbers and having
big impact. And that's great. It just means you need to
have a job where you can have big impact.
Kerri Twigg: But the other stuff that I'd be like, well, maybe your
career story is that you're great at helping people,
bringing people together. And really awesome at
making things accessible and fun.
Kerri Twigg: And that if you were to go for any kind of job or to
start a new venture, as long as you got to help people
break things down and make it accessible and fun and
reach big targets, have the freedom to do it, you're
going to be happy in your career.
Kerri Twigg: So, that's how you find your career story. It's like go
back, be honest about what actually makes you
happy. Find the common themes and then that's what
you start to share. So you don't share the like, "I'm a
student," or, "I'm a specialist in this." You say, "I'm
really great at boom-boom-boom, these skills."
Kirill Eremenko: Wow. Okay, so that ties into what you said earlier that
it's incorrect to just say what you're currently doing.
It's much better to say what you're great at.
Kerri Twigg: Yeah. Well, because people ... I don't know if anyone
else trains people in what you train people to do ... but
they're drawn...
Kirill Eremenko: Yeah, they do.
Kerri Twigg: Yeah, but they're drawn to you because of your
personality and the way that you do it. So that's your
strategic advantage. And every time you share your
excitement, every time you share an example of your
work, you're sharing your career story. So you're
selling the unique way that you do your work.
Kirill Eremenko: Okay, got you, yeah. And does that apply across all
fields or across even like in data science, all roles in
data science?
Kerri Twigg: All roles, all fields, yeah.
Kirill Eremenko: Interesting.
Kerri Twigg: Yeah. I haven't worked in a field ... Like I can do this
with like CNC operators and then I can do it with like
... I don't know ... vets. Because it's about what the
person enjoys in their work. And then you combine
that with to create your career story is like, "Okay,
now I'm know what I'm good at." And then you figure
out where you do your best work.
Kerri Twigg: So I remember at the conference I was talking to
someone and they were talking about the different way
that people communicate at Facebook than they do ...
I can't remember ... I think it was like Amazon. And
they said at Facebook, at that company, everyone is
trained in nonviolent communication and the way that
you share things has to be like a lot of soft language
around things.
Kerri Twigg: But at Amazon it was like sharp and to the point, and
really technical. So if you're somebody who ... you
might have the same tech skills, but if you are super
direct and you don't want to be soft about something,
you might be better off ... You want to communicate
that so that you are working in a place where you can
even communicate in your most natural way.
Kirill Eremenko: Interesting. So a lot of these things are beneficial not
to just progress your career as in get more
responsibilities, higher pay and so on. But it's actually
about being happy. About finding something that
fulfills you.
Kerri Twigg: Exactly, yeah.
Kirill Eremenko: Very cool. Okay, so first tip was screenwriting. Seven
days, ask your question, "What have I done in my
career that I'm most proud of?" What was tip number
two?
Kerri Twigg: Yeah, so then start sharing them. So I think think
about how you want to share that and if you're trying
to grow your career then you want to think of
whenever ... so tracking them and then sharing them
wherever you can.
Kerri Twigg: So, with a boss on a progress report, like wherever you
can, Share it. It's like that guy wrote and he's like he's
busy being a student and when he started to share the
cool projects that he was on and working on probably
on like LinkedIn and Twitter, just sharing it, then his
reputation grew and everyone knew.
Kerri Twigg: So, part of growing your career is also letting other
people know what you're interested in, what you're
working on. And you're not gloating, and you're not
saying, "Hey, I'm the best ever." You're just going, "I'm
working on this cool thing and I'm proud of what I've
done."
Kirill Eremenko: And you can even share some of like along that share
the technical aspect.
Kerri Twigg: Oh, yeah.
Kirill Eremenko: Like say, "Here's what I've done. And here's the code."
If you can share the code. If it's like not proprietary
code for a company or anything. Just share the code
and say, "Here's what I've done. This is what I've
learned. This is the algorithm I used. These are the
equations. Here's how it works." And maybe someone
else will be inspired by that to follow their passion as
well.
Kirill Eremenko: And also I find writing things down helps me learn
them better.
Kerri Twigg: Yeah, it's fantastic. And you can find community that
way, right?
Kirill Eremenko: Yeah.
Kerri Twigg: Like if there's something that someone's working on
and you've given them a tip, they are so grateful and
then they can grow from it. So yeah, sharing it is
another huge thing.
Kirill Eremenko: Okay. So screenwriting and sharing those things. Is
there anything else that you teach people? Or does it
boil down to just repeating these things over and over
again?
Kerri Twigg: Well, I also think that doing some sort of
contemplation in your life is super important. So, I
think it's about you have your career stories, you have
the stories that you're going to tell that you connect
with people and you connect with yourself. And then
you do some sort of contemplation so that you don't
get lost. You don't get so lost in the work that you're
doing that you lose who you are.
Kirill Eremenko: What's an example of contemplation?
Kerri Twigg: Oh, man, well, it could be anything. So, it could be a
mediation practice. It could be a walking mediation
practice. For some people it's journaling or doing
gratitude. It's something where outside of work you do
something that gets you in touch with how you're
feeling and how you're doing in your life.
Kirill Eremenko: Okay, but what's an example of something you could
contemplate about?
Kerri Twigg: Well, it depends. So for contemplation some people will
just concentrate on their breath. And that's just being
aware of how their body is feeling. Other people might
contemplate and just ask themselves questions. Like,
"What am I proud of doing today?"
Kerri Twigg: I'm trying to think of other ... I'm usually not stuck for
words.
Kirill Eremenko: But it's interesting. Actually now it's made me think of
another podcast that I had I think it was in October or
November. At SuperDataScience we have a company
coach who catches up with everybody like basically at
least once a month. And actually we recorded a short
podcast and that was titled Contemplation.
Kirill Eremenko: And what he suggested is when you contemplate is
like you sit down, you pick a topic ... and I've done this
exercise several times. Like for instance you pick a
topic like a rock. And all you have to think is about
rocks. Like what are they used for? Where do they
come from? What do they consist of?
Kirill Eremenko: Like planets are made out of rocks. Rocks can be
different colors. You can break down rocks into sand.
Sand can become glass. Okay, rocks are this and that
and so on. And that way by focusing on that one
specific topic for a very long time, you calm your mind
and you stop this chatter happening in your head.
Kerri Twigg: Yeah. And everyone's different. So some people are
like, "I have to move in order to think." And I'm like,
"Hey, go for it." And for other people they're running
and then others can do that just think about a rock.
But I think some sort of whatever it is for you.
Kerri Twigg: Like for me I wake up and I do morning pages. So
before I look at anything, I just write three straight
pages in this notebook.
Kirill Eremenko: Three pages?
Kerri Twigg: Three pages, yeah.
Kirill Eremenko: Wow.
Kerri Twigg: And it could be ... sometimes it's like a short story.
Sometimes I'm just complaining about what I have to
do that day. Sometimes it's a to-do list. Sometimes it's
a blog post. But I dump everything that's on my mind,
figure out what kind of mood I'm in that day before I
let the outside world determine what I'm reacting to.
Kerri Twigg: I'm all online, right?
Kirill Eremenko: Yeah.
Kerri Twigg: So as soon as I turn on my phone, then I'm in
reactionary. I'm in Kerri Twigg perky career coach
mode. So I need to check in with where I'm in.
Kerri Twigg: And then I do another mediation practice, which is
mostly just paying attention to the sounds in a room.
Kirill Eremenko: Interesting, yeah. There's usually a lot of sounds that
we know others consider like background sound stuff.
Kerri Twigg: Yeah, and our head is going. We have all this self-talk.
So just listening to the heater and just not judging the
sound, and just labeling it here.
Kirill Eremenko: Okay. Got you. All right. Speaking of writing. You're
writing a book which is coming out January next year.
How do you feel about that?
Kerri Twigg: Well, I wrote it so have you ever written a book?
Kirill Eremenko: Yeah, I have. It's such an effort. It's like mammoth,
colossal. I wasn't expecting how much work it would
be when I started.
Kerri Twigg: Yeah. So it feels like ... I'm at the stage where I just
gave the first draft of the manuscript to my editor. And
she's going to read it and mark it up, and then send it
to me.
Kerri Twigg: So, right now it feels really good to be ... When I wrote
it I was going to make it ... I feel like I was going to
make it shorter. And then my editor, she asked two
questions. So the first question was, "What does your
book want to be?" And she said I should just stick that
up somewhere. So I did. I was like what does this book
want to be?
Kerri Twigg: And then she was like, "Just share all." Like share
everything. Don't hold back. And I thought that was
great advice. I think so much we just want to horde
our information. And be like so I have enough for my
next book. But there's always ideas.
Kirill Eremenko: Yeah, that's true.
Kerri Twigg: Yeah. So I feel really excited about it. And I'm eager
because it talks about all of the career stuff. So how to
figure out your career story, how to do a contemplation
practice, how to build a connection with yourself and
other people.
Kerri Twigg: And then a bunch of chapters on the specifics. So how
to do a job interview. How to introduce yourself to
somebody. How to make a great first impression. That
sort of stuff.
Kirill Eremenko: Okay. Would you mind sharing a few insights from
that?
Kerri Twigg: On which one?
Kirill Eremenko: Well, let's say how to introduce yourself to someone.
That's a cool one.
Kerri Twigg: Yeah, so there's a few different ways that you can
introduce yourself to someone. Do you want to know
how to greet someone or like what to say to them?
Kirill Eremenko: What to say to them.
Kerri Twigg: What to say to them, okay. So you could say, well it's
like that guy. Right?
Kirill Eremenko: Yeah.
Kerri Twigg: So he introduced himself saying, "I'm a student," the
way that he introduced himself he said, "I'm currently
trying to learn all that I can about this so I can this."
So that's one way. Is I'm currently trying to learn
everything I can about this thing in order to do this
thing.
Kerri Twigg: And so, if you're in transition or if you're working on
something, that's way more interesting than I'm a
student or I work at such-and-such company.
Kerri Twigg: Another way to do it, like if you already know and you
figure it out is just a statement of like, "I help blank to
do blank." So, you know, "I help people use their
stories to land ideal work." And that's going to turn out
way better than if I introduce myself as a career coach,
people think I'm like in a junior high giving people
advice about where to go to university. And I'm like,
"No, I'm working with people who are sad in their jobs
and want to figure it out."
Kerri Twigg: So, yeah, those are two different ways of just like I
help or I'm trying to figure out this. Those are two
different ways, yeah.
Kirill Eremenko: So, for instance, where you have that example of the
person that you read an email from with the help
example. But in terms of the learn example and the
help example would be something like, "I help," I don't
know, "I help the agriculture industry or agricultural
companies improve their food safety ratings with data."
Something like that if you're in agriculture.
Kerri Twigg: Yeah. Because if you say I thought at the conference
that ... so some people were saying data science and
some were saying data so no one even knows how to
say your title. Right?
Kirill Eremenko: Yeah.
Kerri Twigg: And then nobody really ... like everyone had a different
idea of what a data scientist is.
Kirill Eremenko: That's a big problem.
Kerri Twigg: That's huge problem.
Kirill Eremenko: It's only been around for 10 years. There's not strict,
rigorous conceptual nomenclature or anything around
this.
Kerri Twigg: Yeah, but that means that people that you could help
may not understand what you do. Right?
Kirill Eremenko: Yeah.
Kerri Twigg: So if I own an agricultural company and I'm having
trouble with something. If someone says they're a data
scientist I might be like, "I don't know how that helps
me." But if they said the intro you just did I would go,
"Oh, how do you do that? And where do you do that?
And can you help me?" And then it's a conversation
starter. And people start to understand your work
better rather than just kind of their eyes glazing over.
Right?
Kirill Eremenko: Yeah. But data scientist sounds so cool, right?
Kerri Twigg: Oh, yeah, it does.
Kirill Eremenko: It's the sexiest profession of the 21st century. But
you're right. It's what's better? To be cool or to actually
give the other person enough information to have a
meaningful conversation about careers or build a good
connection.
Kerri Twigg: Well, if you want to be playful you could just be like,
"My title is I'm a data scientist. But this is what I do."
And break it down would be a fine introduction. And
you're just trying to make it easier for the person ... by
whoever you're talking to understand the scope of the
role and the work that you want to do. What you're
trying to do next and where you ideally want to work.
Kirill Eremenko: I just thought of a great example of how to put it into
perspective. Because for the data scientists listening to
this, check this out. If somebody comes up to you at a
dinner party and you ask them, "Hey, what do you
do?" And they say to you, "I'm a doctor." Like you're
going to be like, "What kind of doctor?"
Kerri Twigg: Exactly.
Kirill Eremenko: "Are you a pediatrician? Are you a surgeon? Are you
an eye doctor? Maybe you're a PhD in physics. What
exactly do you mean by doctor?" So it would be much
better if they said, "Hey, I'm a doctor and I help people
with sclerosis to get better through rehabilitation." Or
something like that. Then you're like, "Oh, okay. Now I
know what we can talk about. This if very interesting.
Tell me more. I know somebody who's been through
that. I can understand, appreciate all these things."
Kirill Eremenko: I see what you're saying.
Kerri Twigg: Yeah, and the opener is to draw people in. So, it's not
so that you look like a hot shot and that you sound
perfect. It's to introduce yourself in a way that people
understand what you do and then you can have a
meaningful conversation.
Kirill Eremenko: Yeah, I'll give you another cool example that I like to
do with Uber drivers. This is a little hobby of mine. So
when I get into an Uber, I'm not going to reach out but
if I feel like you said playful and offer it, I tend to avoid
these conversations because sometimes Uber drivers
... Like the typical questions. Like, "How long have you
been an Uber driver?" Like they've heard it a million
times, right. So what's the point?
Kirill Eremenko: So what I ask them is like firstly I get in the car, I'm
like, "Hey, how are you going? Great. What are you
passionate about?" I skip the whole what do you do
apart from Uber? How long have you been an Uber
driver? Like straight to the interesting stuff. What are
you passionate about? And that opens up very
interesting things.
Kirill Eremenko: Most of the time I get this reaction like, "What? Huh?
Did you just ask me what I'm passionate about it?"
And I recommend trying this out like at a party or at
an event rather than asking somebody, "Hey, what do
you do?" Ask them, "What are you passionate about?"
Completely different level of connection.
Kerri Twigg: Yeah. Or like, "What's most meaningful thing you're
working on right now?"
Kirill Eremenko: Great. That's another great one.
Kerri Twigg: Right?
Kirill Eremenko: Not just what are you working on. What's the
meaningful thing you're working on?
Kerri Twigg: Yeah, they're just like, "What?" And they know. So you
can introduce yourself. They can see [inaudible
00:41:15] you be like, "No," and just go right for it.
Those conversations are pretty incredible.
Kerri Twigg: At DataScienceGO, I was at the after party, I think, on
the Saturday night.
Kirill Eremenko: Oh, yeah, that's a good one. I loved that after party. It
was so nice. We're you like the one at the balcony in
the hotel?
Kerri Twigg: Yeah, I was in the balcony at the hotel, yeah.
Kirill Eremenko: Oh, nice.
Kerri Twigg: And this guy came up to me. And I forget what he ...
He was like a PhD in something. And he's like, "You
know, I think you're a shaman." I was like, "What?"
Kirill Eremenko: There was a lot of alcohol.
Kerri Twigg: Yeah, but we had this incredible ... Like I remember it
now because he's like, "Do you think you are?" I'm
like, "I don't think I am." And he's like, "The stories
and you have tattoos of animals. I think you might be."
And it was a while because he just got to the heart of
the things that I really care about.
Kerri Twigg: And he saw me and when people see you and when
they see the thing that you think is like meaningful
and cool, it feels good for them. And they're going to
keep talking to you because it feels so good to talk to
somebody who's like real and on the level instead of
somebody who's just trying to give you facts and trying
to sell.
Kerri Twigg: So you're still selling. But I still remember that. And
later I went out and I was like, "What if I am?" Like
how might I move differently if I'm a shaman.
Kirill Eremenko: Yeah, that's a cool one. Oh, gosh interesting.
Kerri Twigg: Talk about purpose, yeah.
Kirill Eremenko: Yeah, such a variety of things happened there. Yeah,
okay. So that's about introducing yourself. What do
you have for somebody who's going for an interview for
example? What kind of tips do you have there?
Kerri Twigg: Oh, man. So, I think two big things that you want to
prep if you're going for a job interview. The first one is
your tell me about yourself. So your “tell me about
yourself” is usually the first question that they ask
you. And in that one you just want to start it with like
... some people start talking personal. Don't go
personal.
Kerri Twigg: So you start it. Your beginning is like a scope
statement. "So I've been working as a career coach for
such-and-such many years. And these are the three
things I'm good at." The three things come from your
cards. Like your seven stories.
Kerri Twigg: And you'll give a little brief thing about what you've
been doing in your career to date. And just not, "I
worked here, I worked here, I worked here." But just
like, "I spent the last 15 years doing this. And
something I'm really proud of," and then give them a
story. And then tell them the reason why you want the
new job. So why you left your old job or why you're
thinking about leaving. And then that you're happy to
be there. So, memorize that one. Not how you say it
but what you're going to say.
Kerri Twigg: The next thing that people do is that ... I don't know
why. Some people that prepping for an interview
means memorizing their resume but it's the opposite.
What you want to do is take that job ad. For every line
on the job ad that tells you what the job is going to be.
Kerri Twigg: So, can you tell me what would be on a typical data
science job ad?
Kirill Eremenko: Oh, that's a problem. Companies, like we said, it's
hard to explain what a data scientist does or who a
data scientist is. The same thing. Companies often
don't know whom they want or what they want. So
they just put a whole list of everything from A to Z that
they would love to have in this role because they just
don't understand exactly who they're looking for.
Kirill Eremenko: So you'll find like, "We want somebody with at least
five years in the field who knows Python, and Tableau,
and R, and SQL, and logistic regression, and XGBoost,
and deep learning and artificial intelligence." It's just a
whole concoction of incredible impossible things to
have together in such a short period of time.
Kerri Twigg: Okay, yeah. So even if it's impossible, the trick in them
is that most people will put the most important stuff at
the very top of the job ad. So the stuff at the bottom
becomes the wish list. But usually the top like, well,
three to six bullet points, they know that you have to
have that.
Kirill Eremenko: Okay.
Kerri Twigg: So if the first one is that you have to know Python, and
the next one is that you have to know logistical
regression, then in front of each bullet point, just
write, "Tell me about a time you used Python. Tell me
about a time you used ... I don't know if I'm saying this
right but ... you used logistical regression."
Kirill Eremenko: Yeah, logistic regression.
Kerri Twigg: Logistic regression. "Tell me about your experience
with AI." And then, for each one of those you want to
give a solid example of when you've done it.
Kirill Eremenko: What if you haven't done it? What if you're only
learning and you've already done hands on practice
things but not in a real job scenario?
Kerri Twigg: Then give the example that you used in school or when
you were learning. It still works. You're not saying
you're an expert but you're going, "I have this
exposure."
Kerri Twigg: When I meet with technical recruiters the biggest issue
they have often with technical resumes is they don't
know how experienced somebody is with a program.
So that's something that's on your resume. So you put
the program and then what level. Like how many years
you've been working with it and what level you're at.
Kerri Twigg: Yeah, but for the interview you just come up with a
specific example because it's going to tick two boxes.
HR, if they're doing a BDI style interview, you're going
to get all points and...
Kirill Eremenko: What does BDI mean?
Kerri Twigg: Behavioral Descriptive Interview.
Kirill Eremenko: Okay, got you.
Kerri Twigg: So, it's the only scientifically method of assessing a
candidate. And it's still not great science. But if
someone has done something in the past, how they
behaved in the past will predict how they'll do in the
future.
Kerri Twigg: So if you say it like, "Tell me about a time you used
Python?" And then they describe a program and how
they did it, you can tell that's how they're going to use
it in the future, right? So the HR person is checking
the boxes and being like, "Okay, they've done it."
Kerri Twigg: But you're also hopefully going to have the person who
understands the program there. And then they're
imagining you doing the work. And they're like, "Okay,
this person knows what they're doing. They know how
to start a project. They know how to organize it. They
know how to leave the cookie crumbs if it goes off."
Kerri Twigg: And that's the stuff they want to know. Even if you
were like, "I used Python and my first project was
terrible. I failed, this is what I learned." That's even
fine. But just saying like, "I know the program and I
built this thing" doesn't let them know how you use it
or how you work with other people using the program
or working on the project.
Kerri Twigg: If you just say like, "Oh, yeah, I used," can you tell me
what you use Python for?
Kirill Eremenko: Ah, for everything. For AI, for deep learning, for logistic
regression, for customer churn analysis.
Kerri Twigg: Okay, I'm going to use the churn one. So if you said,
"Kerri, tell me about your experience using Python."
And I was like, "Oh, yeah, I did a churn analysis."
You're going to go like, "Well, can you tell me more?"
And I'd be like, "Oh, yeah, it turned out well." You have
no idea how I did it, or how I worked with other people,
or what I'm going to be like to work with.
Kerri Twigg: But if I go, "Yeah, I was using," I'm going to mess up
this experience, "using Python to assess like a churn
analysis and the first thing I did is decided on what we
were going to measure. Set up the whatever task." Like
if I walk you through the steps of it, then you're going
to go, "Oh, she knows how to use it and she's using it
in a way that is in line with how we use it here."
Kirill Eremenko: Okay.
Kerri Twigg: And it gives you a taste of how I work, which is what
they're hiring. If everyone knows the same programs,
the only advantage you kind of have is your
personality and your work style.
Kirill Eremenko: That's a very good point. The question I have though is
what if you're naturally shy? You have like a tendency
to be shy or closed up. It takes you time to open up.
And this is not just like for interviews, this is for
meeting people or as we talked about growing your
career by changing the story you tell to yourself and
the people at work.
Kirill Eremenko: What if like you just lock up in those moments? Do
you have any ideas or tips how to overcome them?
Kerri Twigg: Well, I can give one but I think knowing helps. Like if
you have your clear story, you know how you do it.
And remembering a lot of people hate extroverts. I
think extroverts get seen a lot but they're not loved.
They're too out there, and they're too loud, and too
hoggy. So introverts and quiet are fantastic. Though a
way to get to it is if you hate talking the better you
know your scripts and your story, the less talking
you'll have to do. Because you're going to know which
points to hit right. And it's really just telling a steady
story.
Kerri Twigg: And in a lot of roles if you don't have to be the
communication person between tech and admin, you
can don't have to have incredible communication
skills. And then for practicing, I would just say
practice.
Kerri Twigg: Practice in the mirror. Walk around your house telling
your story. If you're going to do a lot of communication
through video even start to do a video journal through
your phone like just practicing. Because the more you
practice, the better you get at it. Yeah.
Kirill Eremenko: Got you, yeah. So practice will help so you'll know
what to say basically in those moments.
Kerri Twigg: Yeah, and find your people. So even if you have two or
three friends that you can talk about and share these
stories with, and you're talking sector stuff with them
even that is something.
Kerri Twigg: I guess the thing that happens is that if you're not
sharing stories and helping people to understand the
way that you work, you can't really complain about
being looked over.
Kirill Eremenko: Yeah, I know what you mean. It's your own
responsibility to do.
Kerri Twigg: It's your responsibility. And for a long time I had a not
great ... I had a bunch of low paying art jobs because I
was too scared to share ideas. And then when I started
to share them, it just changed everything, people
understood the difference that I was making. And it
didn't take that much effort because so many people
just won't do it.
Kirill Eremenko: Okay, well, it would be really cool for you to meet
Kristen Kehrer. She was at DataScienceGO in 2018
and her talk was about actually ... I think it was about
telling stories with your data. And it was also focused
really on storytelling. Not necessarily just about career
in the career space but more in the data space.
Kirill Eremenko: But, gosh, I think that you two would have so much
fun.
Kerri Twigg: Yeah. I think the other tip that I heard there was about
on resumes the importance of telling stories about
things that you do outside of data science.
Kirill Eremenko: Interesting.
Kerri Twigg: Yeah, so if you don't ... I think it was. I can't
remember. John somebody was talking about it one
stage. But he was like, "If you don't have a lot of
experience, he was more likely to know when he
looked at someone's resume, hire them if they talked
about ...
Kirill Eremenko: John Peach.
Kerri Twigg: ... yeah. He would be more likely...
Kirill Eremenko: Yeah, I think he was from Amazon.
Kerri Twigg: Amazon, yeah. He said he's more likely to hire
someone if they mention on their resume some other
project even if it was a failure was more interesting
than someone who wasn't trying something. Because
he needed people who weren't afraid to try.
Kirill Eremenko: Yeah, that's a very ... I completely agree. Failure is
important and there's nothing wrong with just showing
that. If I see a perfect resume or if a candidate seems
perfect, and when we're hiring to a small team at our
SuperDataScience, I want to find out the dark side. I
want to find out like how you deal with failure. I want
to find out why you failed. Not in the sense like it's bad
to fail but like what's brought you to a part in the
project that's, "Okay, this didn't work out. How did you
assess that? What did you learn from it?" And so, so
yeah, nobody's perfect. And good hiring managers
understand that.
Kerri Twigg: Yeah, absolutely. And that's where having an example
would be stronger than just being like, "Oh, I've never
failed or I messed up something once." Like being able
to go like, "Oh, here's a story of how I failed."
Kirill Eremenko: Yeah.
Kerri Twigg: And I feel like in your sector, don't read the career
advice written for someone who's trying to land a job
at a corporate bank, unless you want to work at a
corporate bank. Because all of that advice is about
being perfect and kind of being fake in order to land.
And I think the opposite goes in your sector.
Kirill Eremenko: Yeah, you're absolutely right. It has to be very
authentic.
Kerri Twigg: Yeah.
Kirill Eremenko: I want to touch one more thing. Well, I started
watching your DataScienceGO talk in the recordings.
And at the start you mentioned that a career story has
three parts. And I'm still thinking about what are
those three parts? Could you share that for us please?
Kerri Twigg: Sure thing. So the story ... and I think this what I said
there ... the story that you tell yourself, the story that
you tell other people and then the story that other
people are telling themselves.
Kirill Eremenko: Oh, that's right. Yep. Story that you tell yourself, the
story you tell other people and the story that other
people are telling themselves about you, right?
Kerri Twigg: Not in even about you. Even about them.
Kirill Eremenko: Okay.
Kerri Twigg: So, if I'm talking to someone and I know that they're
telling themselves a story that they're super important
and don't have time for anything. Then I want to
change my story or mask to be something that's going
to work for them. That's going to resonate with them.
And I also want to give examples that are working.
Kerri Twigg: So we can't just come up with stories that we like.
That highlight our skills and not consider who we're
telling them to.
Kirill Eremenko: Okay. So you've got to have a couple of stories that
you can tell depending on the audience?
Kerri Twigg: Yeah. And do the research. Often who's the
stakeholder in a typical ... I know it's so wide because
it's so vague ... but what do you call a stakeholder in
data science job? Are you a client? Do you call it
stakeholder? Do you say customer? What do you ...
Kirill Eremenko: Stakeholder's fine. I use stakeholder.
Kerri Twigg: Stakeholder is fine. Okay. So if you're using
stakeholder at your company and I come in for an
interview and I haven't done my research, and I don't
know you call them stakeholders. And I keep telling
you a story about how I help customers, and you keep
saying stakeholder and I don't, we're not telling each
other the same story.
Kerri Twigg: So even tiny things like matching their language a
little bit still using some of your own words that can
make a difference. And if you think you run like a
happening, cool company, and someone comes in and
they talk to you like you're running something really
straight, and boring, and safe they're not matching
you. And you're like, it doesn't matter what they say to
you, you guys aren't ... they haven't thought about
who they're telling this story to.
Kirill Eremenko: Yeah. Okay, got you. I think it ties in a bit to that. And
another tip I've heard is that you should aim to
position yourself or talk about the things and show
expertise in the things not for the role that you are in,
but for the role that you want. Even if it's with the
same company. If you are looking for a career
progression and growth then you should already be
interested.
Kirill Eremenko: Like if you're a manager of data science and you're
looking at director of data science you should already
be interested in, "All right, what is a director of data
science normally interested in? How do I deal with
people? How do I deal with other departments in the
company?"
Kirill Eremenko: You know that's not part of your job description now
but that's something that should be on your mind, you
should be talking about that. If you're thinking about
that, it's going to be coming up in conversations with
your colleagues. And even before you get the role,
people are going to be seeing you as a director of data
science.
Kirill Eremenko: For instance let's say there is no director of data
science in the company right now. It's a startup or
something. Well, because everybody sees you as a
director of data science, it'll be so easy for the
executive team to promote you to a director of data
science because you're already thinking that way,
you're talking that way, everybody's seeing you that
way.
Kerri Twigg: Absolutely. Yeah. And I'm a big fan of read scholarly
articles and read what's going on worldwide in your
sector so that you're going wide like you're going to go
... Like you know the big things. So if you talk to
somebody who has hiring power, if you're talking to
like your CEO.
Kerri Twigg: But if you go to your CEO and all you talk about is
"Here's what I accomplished so far in my career." Yeah,
you're right. They'll just keep you there. But if you talk
about, "Hey, this cool thing happened in Finland that
would affect us. Did you hear about it?" They might be
like, "Whoa. You know the bigger," ... like then that
will draw them in and they'll want to hear about the
little things.
Kerri Twigg: So knowing the bigger picture works really well.
Kirill Eremenko: Fantastic. Well, on that note Kerri we're coming slowly
to a close of this podcast. Any final thoughts that you
want to share with our audience to inspire them to
keep pushing ahead?
Kerri Twigg: Oh, man, like you work in ... Well, that's not very
inspiring. You work in this sector that is incredible
and so new that you actually are in the position to
help inform where it goes. And that is so exciting.
Kirill Eremenko: Absolutely.
Kerri Twigg: And it's going to take knowing yourself, understanding
the work, paying attention to other people and sharing
your awesome in order to grow. And everything that
you work to do just brings more credibility, and
interest, and bigger salaries, and more coolness to
your sector.
Kerri Twigg: So you can do it. And you are totally enough. You
don't have to be more than you are. You're enough as
you are.
Kirill Eremenko: Fantastic. Thank you. That's amazing. Amazing share.
I totally back that up. It is very exciting to be in a place
that we can shape where it goes.
Kirill Eremenko: So before I let you go though, I know you said that you
have plenty of clients and you’re not looking for clients
right now, which is very exciting. But nevertheless
could you please share with us where can people find
you, follow you, maybe follow the things that you
share? What are some of the best places online to keep
up to date with what's going on in your space?
Kerri Twigg: So the best place is LinkedIn because I'm active all the
time there. So look me up. Kerri Twigg. Or career-
stories.com is where I blog. But I'm way more
interesting on LinkedIn.
Kirill Eremenko: Nice. That's a really cool domain you got, career-
stories.com.
Kerri Twigg: Yeah.
Kirill Eremenko: That's awesome. Okay, great. So we'll share the links
in the show notes as well. And one final question I
have for you today, what's a book that you could
recommend? Your book's not out yet, of course that
would be a great read if somebody's listening to this is
in 2021. What's your book going to be called?
Kerri Twigg: It's called the Career Stories Method.
Kirill Eremenko: Nice.
Kerri Twigg: Yeah. And then there's some tag line about making
more money or something.
Kirill Eremenko: Nice. Okay. But what's a book that you can
recommend now to people that maybe has impacted
your life?
Kerri Twigg: I love this book called Art and Fear. It's by David
Bayles and Ted Orland. And it's on the perils and
rewards of artmaking. It works for everything. Like it's
really about getting over your fear ... like fear of
yourself, fear of other people, fear of the outside world.
It's written for artists and painters but I think it works
for anybody.
Kirill Eremenko: Fantastic. Art and Fear. Got you.
Kerri Twigg: Art and Fear, yeah.
Kirill Eremenko: Okay. Well, thank you very much, Kerri. Very exciting
to have you on the podcast and also so cool that the
impact you made at DataScienceGO is changing
people's lives. That is extraordinary.
Kerri Twigg: Yep. Me and you. We can do it.
Kirill Eremenko: Okay. All right. Have a good one.
Kerri Twigg: Talk to you later. Thanks for having me.
Kirill Eremenko: So there you have it everybody. Super pumped about
this episode. I hope you had as many laughs as we did
with Kerri. And enjoyed the energy of the show. Kerri
has an amazing energy to her. It was really fantastic
connecting with her.
Kirill Eremenko: My favorite part was probably the exercise that I did
even if a couple of minutes that I did it for, I really got
some valuable insights. I understood that I love
creating these journeys, these stories for people to
discover, to understand, to have that uncertainty, to
have that element of surprise when they're taking
courses. That's what I'm really passionate about.
Something I'm proud of and something I really love
doing in my work.
Kirill Eremenko: And that was just after doing it for a couple of
minutes. Imagine what results you'd get if you do this
for seven days in a row and you just keep asking
yourself that question, "What is it that I've done in my
career that I'm proud o.?"
Kirill Eremenko: So I highly recommend trying out that exercise and
maybe you'll be Kerri's next success story. And if you
are make sure to contact her and let her know about
it.
Kirill Eremenko: And one thing I want to ask of you today is to share
this episode with someone. Doesn't even have to be
someone in data science. Somebody you know who
wants a better career. Somebody who wants more
fulfillment, might be unhappy with their job. This
could change the course of their life and that's why we
do these episodes to inspire people to give them that
spark to move forward and improve their lives and
careers.
Kirill Eremenko: Because the career is ultimately not just about the
money or the title or the responsibility that you have.
All this is important and indeed this method can help
you grow all those things but ultimately a career is
about doing the things that you love, being happy and
being fulfilled.
Kirill Eremenko: So if you know somebody who might be struggling, or
could be, or wants to be more fulfilled in their career,
send them this episode. It's very easy to share. Just
send them the link superdatascience.com/347. And
that is also where you can get the show notes for this
episode. Any materials we mentioned on the show plus
the URLs to Kerri's LinkedIn and other places where
you can connect with her and follow her career, follow
what she's doing for the world. So once again that link
is superdatascience.com/347.
Kirill Eremenko: And finally as mentioned throughout that episode,
Kerri was a speaker at DataScienceGO 2019 so that
gives you a feel for what kind of speakers we invite to
the event. We not only invite data science practitioners
and inspiring data science speakers. We also invite
people who will help you grow your career and take it
to the next level.
Kirill Eremenko: So if you want to learn data science, have fun and
skyrocket your career, then check out DataScienceGO
in Los Angeles on 23rd, 24th, 25th of October.
Kirill Eremenko: The website is datasciencego.com and I look forward to
seeing you there. Until next time, happy analyzing.