Data Science for Social Good Career Panel Wednesday, March 28, 2018

Shirin Mojarad, Ph.D. Lead Data Scientist, McGraw Hill-Education Dr. Shirin Mojarad is currently a Lead Data Scientist at at McGraw-Hill Education. She was formerly a senior analytics specialist in the Advanced Analytics team at Canadian Imperial Bank of Commerce (CIBC) and a data mining consultant with a leading software company in predictive analytics. She is an expert in navigating and deriving insight from large datasets using data mining techniques. She has wide experience in framing and conducting complex analyses and experiments using large datasets to find trends in diverse data sources and analyze behavioral patterns using advanced statistical modeling and

data mining techniques. Shirin received her Ph.D. in Electrical Engineering and her M.Sc. in Communications and Signal Processing from Newcastle University U.K., where she specialized in predictive modeling and artificial neural networks.

Austin Crumpton, MPH Data Scientist, American Red Cross Austin Crumpton has worked with the American Red Cross for the past six years where he focuses on the use of Data Science, Behavioral Economics, and Policy Evaluations to drive performance improvement. He was previously a Behavioral Economics Research Associate at Harvard Business School, and has held positions with political campaigns, and the United States Senate. He holds a MPH in Behavioral Economics from Harvard School of Public Health where he helped co-found the Harvard Behavioral Insights Study Group, a graduate research interest group focused on the advancement of Behavioral Economics in public policy, as well as a

Certificate in Public Health Leadership from Harvard School of Public Health, and has completed graduate work with Social Enterprise Initiative at Harvard Business School, Program on Crisis Leadership at Harvard Kennedy School, and Humanitarian Studies, Ethics, and Human Rights at Harvard Humanitarian Initiative. He enjoys biking with his wife Melanie, and hiking with his dog Lupin throughout New England.

Stefani C Leabo, M.A. Director of Performance Management, City of Boston Analytics Team Stefanie is the Director of Performance Management for the City of Boston. In that capacity she leads a team of project managers and analysts who coordinate performance measurement, reporting, and in-person follow-up for the city, in addition to leading targeted project engagements with city departments and teams. In her time with the City of Boston, Stefanie led the development and release of Mayor Walsh's CityScore initiative and facilitated the launch of Boston's Community Assistance Team pilot program. Formerly of the City of Somerville's SomerStat department, she is experienced in using data to drive performance and process improvements in

municipal government. Born and raised in Massachusetts, Stefanie is a graduate of UMass Amherst with B.A.s in Political Science and History and earned an M.A. in Political Science from George Washington University. Sarah Graham, B.S. Applied Data Scientist, Civis Analytics Sarah Graham is an Applied Data Scientist at Civis Analytics, a data science firm with political roots in the Obama 2012 campaign. She works on the political team producing analyses and constructing data visualizations to communicate actionable and insightful results. At Civis, she has managed web application development projects to deliver modeled and survey information to clients, with a focus on election forecasts and issue guidance. Additionally, she has managed complex matching and versioning data pipelines of both client and Civis data. Previously she volunteered on the Clinton 2016 campaign and at Ready for Hillary. She graduated from Harvard College in 2017 where she studied Statistics and Archaeology.

Mohammed Ayub, M.S. Data Scientist, National Fire Protection Association (NFPA)

Mohammed moved from the Silicon Valley of India (Bangalore) to the "woo-town" (Worcester) of USA to pursue his interest is data science. He has experience working in various domains like Consumer products, Information Technology, Life Sciences, and Fire Protection where he help develop data solutions to improve efficiencies in product and research teams. At NFPA, he is responsible for driving data science efforts to make better data driven decisions across the organization. Also, developing and managing the analytics sandbox environment for fire research and innovation. With his love for technology and strong background in computer programming his interests revolve around developing novel ways for people to interact with computers. His other interests include deep learning, semantic applications and big data technologies. In his

spare time he is down to play Cricket at any venue. He holds a MS in Data Science from WPI and BS in Computer Science from NMIT, Bangalore.