Prithvi Raj

1. Built predictive models using gradient boosted tree in PySpark to increase cross sell opportunities for a US-based global media company; increased response rate to campaigns by 20%. 2. Automated reports for US-based hotel client by optimizing SAS codes leading to over 70% reduction in execution time 3. Converted SAS code to R code for the bi-variate analysis part of logistic regression to save potential cost of $0.5 M per year

1. Led a team of 2 to set up CRM campaigns across channels to manage customer lifecycle, increased share of CRM in revenue from 3% to 9% and 30-day repeat rate by 2% 2. Improved campaigns based on test-control experiments and A/B tests, leading to 8% increase in customer engagement 3. Designed structure of reports to track performance of campaigns and customer engagement

• Increased response rate to marketing campaigns by 50% by building customer propensity models for various insurance products for a leading insurance company in Hong Kong using SAS E-miner; build framework to sell the next best product • Created framework for reputation management for a coal mining company using text analytics and sentiment analysis using twitter data; recommended client on best guidelines for Indian market

Mechanical Engineering Computer Aided Design and Automation Computer Programming and Utilization Mathematics Introduction to Optimization