M.S Data Science

B.Tech , Information Technology

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Data Scientist Intern

Optimize Pull Through Rate ML Models for the Capital Markets/Hedge team for Hedge funds worth billions of dollars using Ensemble Modeling techniques improving predicted Pull Through error rate by 1%

Senior Associate, Data Scientist

• Experimentation/Causal Inference Model – to analyze new membership service to be launched by a top global US based ecommerce giant helping strategize optimum membership plan
• Designed multiple A/B tests and led the Marketing Analytics campaigns, succeeded in achieving a 12% increase in the Acquisition rate, studying the Acquisitions, Churn and Customer Behavior
• Led a 6-member team and engagement worth about ~$1.5 M to collaborate with client’s marketing and customer insights team to design and deploy analytical solutions

Data Scientist, Product Analytics

• Set up automated data pipeline flows from databases to Google sheets, Tableau dashboards leveraging SQL (Hive), R and automated daily Email tasks/reports on WhatsApp utilizing Python/R , saving 2-3 hours/day
• Developed predictive models, analyzed large datasets using Statistical techniques/Machine Learning algorithms and provided key insights – Lease Prediction Model helped increase profitable margin by 15% in 4 major cities

Data Analyst

• Developed custom queries on TBs of data using SQL, to find patterns and trends using (R/Python) for Android/IOS games and presented insights/dashboards to stakeholders
• Analyzed user Playing Behavior, Churn Analysis, Hacker Anomaly Detection, Player Segmentation, LTV etc. leveraging R and ML algorithms – driving player Retention, Engagement and Monetization, Churn model
reduced Day 15 paid player churn rate by 3%

Software Engineer, Analyst

Gathered data for different web applications from the Databases (using SQL queries), preparing data, visualizing it (R/Excel), drawing conclusions with customer usage patterns helping devise business strategies for the client (AT&T)