Tharun Kishor Anuja Rajkumar
Phone: 469-***-**** Location: Dallas, TX 75252 Mail: ****************@*******.***
LinkedIn: https://www.linkedin.com/in/artk19/ GitHub: https://github.com/tharunkishor19
EDUCATION
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 & TECHNICAL SKILLS
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
EXPERIENCE
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%
PROJECTS
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