Experienced Analyst with a demonstrated history of working with huge amounts of data. Skilled in R and python, SQL, Tableau, Microsoft Office, Leadership, Project Management. Strong research professional with a Masters in Statistics with specialization in Data Science from California State University - East Bay. Currently working part time as Data Analyst in the Office of Sustainability, Cal State East Bay.

1. Rahul Garg
25200 Carlos Bee Boulevard, Hayward, CA 94542 | rgarg4@horizon.csueastbay.edu | (510) 605-1439
EDUCATION
California State University, East Bay Hayward, U.S.A.
M.S. in Statistics (Data Science Specialization) Aug 2018 - Present
• Relevant Coursework - Probability, Descriptive Statistics, Hypothesis Testing, Bootstrap Methods, Analysis of Variance
Models, Data Visualization, Time Series Forecasting, Linear and Logistic Regression, Machine Learning
Delhi College of Engineering New Delhi, IN
Bachelor of Technology – Mechanical and Automotive Engineering Aug 2013 – May 2017
• Relevant Coursework - Advanced Calculus, Linear Algebra, Probability and Statistics, Computer Programming, Hypothesis
Testing, Microeconomics
WORK EXPERIENCE
Office of Sustainability, California State University, East Bay (CSUEB) Hayward, U.S.A.
Data Analyst Aug 2019 – Present
• Analyzed thousands of survey results with questions across various categories.
• Used tidyverse and dplyr in R extensively for cleaning and analysis of categorical and numerical data.
• Analyzed a system wide assessment tool and compared CSUEB ratings with all the other CSU institutions to help make
improvements and meet the requirements of the campus’ Climate Action Plan.
• Created visualizations in Tableau and R using ggplot and presented the findings to upper management.
Lending Club Loans Default Data Project Hayward, U.S.A.
Machine Learning Project Nov 2018- Jan 2019
• Starting with 4,554,000 records, cleaned data using R Amelia to identify and impute missing data.
• Built prediction models including Logistic Regression, Decision Trees, Random Forest, k-Nearest Neighbors, Neural Network
and Naive Bayes.
• Measured model performance using accuracy, recall, specificity, precision, F1 and area under the ROC curve to establish the
best performing model which was shown by Random Forest with an accuracy of 89% with ROC 84%.
OYO Rooms Gurugram, IN
Operations Intern Jul 2017 – Dec 2017
• Collaborated to implement analytics workflows for demand forecasting, new initiatives management, market data analysis,
hotel location optimization solutions.
• Configured reports and dashboards on Excel, Tableau and Power BI to drive performance metrics. Developed SQL scripts for
data transformation, validation and ad-hoc data requests, delivered data feed to R and Excel.
Delhi Metro Rail Corporation New Delhi, IN
Data Analyst Intern Dec 2016 – Jan 2017
• Collected and analyzed data relating to duration and cost incurred in Metro rail repairs from Jan 2014 to Dec 2014.
• Implemented methods of linear regression, ANOVA, and competitive benchmarking and forecasted future costs taking into
consideration the project growth and historical data.
• Applied exploratory data analysis to summarize key factors and provided in depth forecasting solutions.
LEADERSHIP AND EXTRACURRICULAR ACTIVITIES
Statistics department, California State University-East Bay Hayward, U.S.A
Grader Jan 2019 – May 2019
• Graded undergraduate student’s homework, assignments and exam papers.
AISEC Izmit, Turkey
Youth Trainee Jun 2016 – Jul 2016
• Worked with 50 students from diverse background from 18 countries as an exchange participant from India for AIESEC
(International Association of Students in Economic and Commercial Sciences).
• Led the discussion club with high school students to share the importance of computer skills to analyze existing data.
Presented upcoming trends in the field of data science to highlight exponential growth in data and its use.
Engifest, DTU’s Annual Cultural Fest New Delhi, IN
PR Coordinator Jun 2014 – Jul 2014
• Conceptualized and organized 15 informal events to entertain a crowd of 6000 people from all across India.
SKILLS AND INTERESTS
Computer Skills: R, Python, Tableau, SQL, Excel, PowerPoint
Social Work: Involved with Teach in India (2016-2017) and Make a Wish Foundation (2014, 2015).