Garima Garg is a graduate student studying Statistics and Applied Mathematics at UC Santa Cruz. She has a B.Tech in Computer Science and Engineering from Jaypee Institute of Information Technology. Her areas of interest include statistics, machine learning, data science, and data visualization. She has work experience as a teaching assistant, research assistant, and software engineer/analyst. Some of her projects include predictive modeling of prostate cancer, disease prediction using neuroimaging data, and Bayesian regression models applied to HIV and life expectancy datasets.

1. 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).