Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Resume
1. 8412, Memorial Lane,
Apt 6107 Plano 75024
+1-682-246-7376
V. Anirudh Srinath
LinkedIn
anirudh.srinath1991@gmail.com
Education
University of Texas at Arlington - Master of Science in Information Systems (GPA:3.3/4) Aug 2017 – May 2019
Relevant Coursework: Econometrics, Statistics, Python Programming, Data Science
Anna University – Bachelors in Electronics & Instrumentation (GPA:3.2/4) Sept 2009 – May 2013
Work Experience
Dallas Cowboys Frisco, Texas
Data Analyst Intern – Customer Analytics Jan 2019 – May 2019
• Identified and included actionable variables of NPS such as wait time, return time For the Dallas Cowboys Merchandise.
• Built a Logistic Regression model to identify promoters and detractor’s customers using Python.
• Analyzed the Customer Demographics of the Dallas Cowboys Ticket Holders in Python and SQL which helped improve the
metrics of marketing campaigns by 40%.
• Forecasted the yearly sales of the Dallas Cowboys Tickets using Python and Tableau to be used as Business projections.
DaTraks Orlando, Florida
Data Analyst Intern – Baseball Analytics May 2018 – Aug 2018
• Performed statistical analysis on Release Points of a Pitcher which helped improve the performance of Pitchers by 20%.
• Evaluated the existing database in Postgre-SQL and implemented specific improvements to the database like adding B-Tree
indexes which improved query performance by 30%.
• Applied Logistic Regression in Python to detect the most significant indicator of Fatigue Analysis of a Pitcher which helped
to improve the performance of amateur baseball Pitchers by 50%.
Vembu Technologies Chennai, India
Digital Marketing Analyst – Marketing Analytics Dec 2017 – July 2018
• Spearheaded a new initiative called ‘vExperts Q & A’ and led the social media digital marketing team, achieving a 74%
increase in website traffic.
• Leveraged Google Analytics and suggested some improvements to the website which resulted in an 50% increase in
organic traffic.
Product Labs Solutions Bengaluru, India
System Analyst Oct 2014 – Oct 2016
• Researched and implemented a configuration management (Version Control-SVN) for the application source code,
which resulted in increase of development productivity by over 50%.
• Evaluated and implemented new technology solutions such as the migration of the SaaS Application from NxtGen
Data Center to AWS which helped reduce the application cost while achieving equal level of service.
• Built and Deployed Docker containers to break up the monolithic app into microservices which improved
Developer Workflow.
Technical Skills
• Languages: Python, SQL
• Statistical Software: SAS, Stata, R
• Statistical Methods: Hypothesis Testing, Analysis of Variance, Time series – Random and Fixed Effects, Multivariate
Regression, Forecasting, Econometric Modelling
Academic Projects
Regression Analysis (Econometrics)
• Conducted Regression Analysis to study the relationship between Horsepower, Displacement, Cylinders, Acceleration on Miles
Per Gallon (Mpg). Performed Multiple Transformations and found that the Adjusted R-Squared improved with each model.
Face Recognition (Data Science)
• Built a Multi- Class Face Recognition System using Convolutional Neural Network in Python and achieved an accuracy of 80%.