Sahaana Balasubramanian

949-***-**** adfyip@r.postjobfree.com www.linkedin.com/in/sbalasub1 Experience

Data Scientist, Havas Edge (marketing & advertising), San Diego 3/2020 - 6/2020

• Leveraged predictive analytics, proprietary ad sales, media impressions data to help clients maximize revenue

• Created an interactive tool in RShiny, Tableau to visualize lags & call volume using time series modelling Data Scientist, Prodian Infotech 11/2018 - 4/2019

• Designed customized dashboards by arbitrated discussions with 3 different teams. Worked extensively in R, Python, RShiny, MySQL to create advanced statistical techniques (clustering, PCA, factor analysis)

• Undertook analysis of CSK, a nationally recognized league sports team, to improve performance.

• Extracted unstructured, large data (~3,000,000 rows) from company’s database

• Deployed Shiny application & integrated with production. Increased app usage by 12%. Data Analyst, Ashok Leyland 5/2018 - 7/2018

• Surveyed the monthly data of vehicles sold to extract insights; detailed the KPI for truck sales using regression

• Collaborated with teams to build Power BI/Tableau graphs; presented data driven insights to key stakeholders

• Reviewed graphs to discover reasons for low sales in the month of January (almost 60% from the previous month) Projects

Predicting customer churn, UCSD 2/2020

• Established RFM, logit, neural network, tree-based models to identify the customer churn for a mobile company

• Computed CLV over 60 months for customers to devise quantifiable customer retention actions

• Recommended actionable retention plans to reduce customer churn by almost 4% Click stream data for e-commerce websites, UCSD 7/2019

• Ran logit, random forest to analyze effect of holidays, page value, web page content on revenue

• Tracked experiments by A/B testing – changed web page content to visualize change in conversion rates

• Successfully implemented result from A/B testing to increase conversion rate by 5.7% Effect of serve order in tennis tiebreak, Information Technology, SASTRA University 9/2018

• Established Python machine learning models to study effects of serve order in tennis by comparing accuracy

• Led a team of 4 and presented the findings in a conference at SASTRA University Education

Master of Science in Business Analytics, University of California, San Diego 6/2020

• Rady Fellowship recipient; Member - Rady Data Analytics Club, Women of Rady Club

• Relevant Courses: Customer Analytics, Business Analytics in Finance, Marketing and Operations, Collecting and Organizing Large Data, Business Analytics, Web Data Analytics, Experiments in Firms B.Tech., Information Technology, SASTRA University, India 5/2019

• Secretary of Information Technology Group

• Relevant Courses: Data Mining & Data Warehousing, Machine Learning, Big Data Analytics, Artificial Intelligence Specialized Skills

• Languages/Coding: Advanced MySQL, Python (matplotlib, NumPy, pandas, SciPy), R language

(dplyr, ggplot2, Shiny, lubridate, purr), HTML, (additional programming experience in Java, C, C++)

• Business Intelligence Tools: Power BI, Tableau, Excel (Vlookup, Pivot Table, Formulas), Microsoft Azure, Google Analytics

GitHub: https://www.github.com/Sahaana-git

Contact this candidate