Summary
Ashwin Babu is a data scientist and performance analytics consultant with 8 years of experience applying time-series forecasting, machine learning, and deep learning to high-impact business problems across finance, travel, retail, and healthcare. At Mastercard he analyzed over 98 billion transactions using Hadoop and PySpark, built propensity and XGBoost models that uncovered $216M in opportunity for an airline and contributed to $881K in business-driven initiatives. He has end-to-end experience in forecasting pipelines (ARIMA, Prophet, SARIMA, etc.), feature engineering, spatial-temporal modeling and production-ready SQL/Python workflows, and has driven operational improvements at Philips, CVS/Aetna, and in an industry capstone with Olyns. Known for translating complex analytics into strategic recommendations, he combines rigorous academic training (MDS, UBC) with hands-on big-data engineering and a persistent focus on actionable outcomes. An unusual strength is his blend of security- and dev-ops-informed analytics (dashboards, CI/CD, SonarQube remediation) that helps bridge analytics and production reliability.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science Track: Data Science, Bachelor of Science - BS Computer Science Track: Data Science at The University of Texas at Arlington
Master of Science - MS Data Science, Master of Science - MS Data Science at The University of British Columbia
English, Hindi, Tamil, Marathi