GARIMA GARG ggarg@ucsc.edu | linkedin.com/in/ggargucsc | github.com/ggargucsc | 831-332-3880

AREAS OF INTEREST SKILLS Statistics, Machine Learning, Data Science and Data Visualization Statistical Tools: R, SPSS

Programming: Python, C, C++, PHP, EDUCATION HTML, JavaScript, Java, Shiny University of California, Santa Cruz, USA - MS, Statistics and Applied Mathematics Data Technologies: Oracle 8i, SQL, Hadoop (2014-Present) • Advisor: Prof. Rajarshi Guhaniyogi

Jaypee Institute of Information Tech. Univ., India - B.Tech, Computer Science & Engg. LANGUAGE: English and Hindi (2006-2010) • Advisor: Dr. Divakar Yadav (GILD rates JIIT as 10th all-time Best Indian University)

WORK EXPERIENCE UC Santa Cruz – Graduate Teaching Assistant Sep. 2015 – Present • Conducting section meetings and holding regular office hours for the courses - Statistics/Gambling & Gaming. University of Washington, Computer Science (Advisor - Prof. Jeffrey Heer) - Research Assistant Jun. 2015 -Present • Built visualization tool for model selection in Linear mixed-effects models for HCI datasets. (Using R and shiny).

Institutional Research and Policy Studies, UC Santa Cruz - Graduate Student Researcher Jan. 2015 – Jun. 2015 • Participated in in all stages of survey data collection, survey designing, analysis, and reporting. Identified statistically significant differences in

student experiences based on their social background, identity, academic preparation, and field of studies.

Accenture - Software Engineer/Analyst Jul. 2010 - Aug. 2014 • Worked as a part of Business Operations team where I analyzed different metrics to study the impact when the Project metrics drop below a

certain level and then provide suggestions to better improve the metrics and better the business by using data analysis techniques.

Orangut Labs - Intern May 2009 - Jul. 2009 • Contributed towards the development of a website for their ‘Conference Management Suite’.

ITC Limited - Intern May 2008 - Jul. 2008 • Worked on a project ‘Better Recruitment Strategies’ where I had to analyze previous years’ data and propose new models/strategies.

PROJECTS • Predictive modeling in prostate cancer – The project involves working on high dimensional prostate gene expression data from micro-array

experiment. Supervised PCA have been used for dimensionality reduction and identifying key genes, followed by classification approaches such as LDA etc, for prediction of prostate cancer.

• Predict disease based on neuroimaging data – Extending Generalized Bayesian Tensor Regression with a scalar response against vector and tensor covariates that have already been proposed to Bayesian probit model for disease prediction.

• Bayesian Regression Models for HIV dataset – Analyzed HIV dataset to understand the effects of age, treatment in the percentage of CD4 cells by using Bayesian Regression Models. Studied sensitivity of the results with respect to different priors within each model type.

• Bayesian models for life expectancy dataset – Analyzed life expectancy dataset to understand the relationship between life expectancy, gross domestic product and population size in the Americas by using Bayesian linear and hierarchical model.

• Bayesian Hierarchical model to estimate proportion of bicycle traffic

COURSEWORK Data Mining, Multivariate Statistical Methods, Intermediate Bayesian Statistical Modeling, Linear Statistical Models, Intermediate Bayesian Inference, Intermediate Classical Inference, Probability Theory, Foundations of Applied Mathematics ACHIEVEMENTS & ACTIVITIES • Received certificate from Google for successfully completing the course: Making Sense of Data. • Received certificate from Coursera for scoring 91% in the course Statistics: Making Sense of Data taught by professors at University Of Toronto. • Head of the Math Dept. at FAT (Feminist Approach to technology), a Google Awardee NGO for empowering women towards technology in ’13. • Corporate Social Responsibility (CSR) representative at Accenture India in ’13. • Cleared Graduate Aptitude Test in Engineering (GATE), an all India examination for admissions to postgraduate studies in IITs, with 98.36

percentile in Computer Science in ’12. • Received certificate of appreciation for securing 94% in Mathematics Olympiad in sophomore. • Received certificates for securing the highest marks in Mathematics and Science in sophomore (96% in Math and 94% in Science).