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Data Analyst

Dallas, TX
December 29, 2020

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Tharun Kishor Anuja Rajkumar

Phone: 469-***-**** Location: Dallas, TX 75252 Mail:

LinkedIn: GitHub:


The University of Texas at Dallas May 2021

M.S. Business Analytics Specialization: Data Science, Applied Machine Learning

SSN College of Engineering, Chennai, India May 2019

B.E. Electronics and Communication Engineering


Certification: Tableau- Data Scientist, AWS Data Analytics Fundamentals, Alteryx Designer Core

Programming: Python, SQL, R, SAS, Java, Scala, Stata, Pytorch, Hadoop, Spark

Analysis Tools: Excel, Tableau, Google Analytics, Alteryx, MySQL, SQL Server, Power BI, QlikView, Salesforce

Statistical Techniques: Machine Learning (Regression, Clustering, Classification), Hypothesis Testing, Time Series,

Analysis, Predictive Modeling, Deep Learning, Recommendation Systems, Customer Analysis


Dallas County Republican Party, Dallas, Texas June 2020- Present

Data Science Intern

Collaborated with a team of 13, collected voter response data through phone banking

Analyzed and cleaned voter data, ran SQL queries to segregate 17 million+ records based on 4 counties

Mapped variables to past election data, identified 50+ voter trends and patterns in DFW area

Segmented data by 250+ precincts, forecasted the effect of covid-19 on voter affiliation to parties

Reliance Associates, Salem, India November 2018

Data Analyst Intern

Investigated and classified customer data of loan accounts, predicting defaulters at 94.51% accuracy

Designed dashboards to visualize the rise and fall patterns in trucks sales rate for 3 months

Applied predictive modelling on loan data, anticipating half-yearly sales margin at an accuracy of 93.29%


New Store Launch, Udacity - Predictive Analytics Nano-Degree - Alteryx August 2020

Partitioned 85+ grocery stores to 3 ‘formats’, avoiding shortage of goods and meet local demand

Launched A/B tests to recommend geographic locations for new stores, achieving 87% incremental lift

Classified 25 new stores into clustered ‘formats’ based on socioeconomic data using boosting models

Forecasted monthly sales of fresh produce for existing and new stores using ARIMA model

KPMG Virtual Internship Program July 2020

Assessed data quality of customer transactions of Sprocket Central Pty Ltd to optimize resource allocation

Examined statistical significance and built live reports to track changes in the customer profile

Executed cluster analysis, segmenting 45% of high-value customers to target product marketing

Forecasting Life Expectancy February 2020

Estimated life expectancy in WHO’s public data by implementing 10+ regression and ensemble models

Revised hyperparameters to generalize the model, obtaining a R squared value of 96.13%

Health Product Recommendation January 2020 – May 2020

Inspected consumer survey data with 75+ features, supplying recommendation to launch a health product

Identified 3 prominent groups for marketing, based on produce consumption using PCA

Proposed product advertising strategies like seasonal promotions, dietary taglines to target customers

Eligibility: F1 Visa Eligible to work in the U.S. for internships and for full-time employment for 36 months

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