Professional Summary
Applied ML scientist with 5 years shipping production models across fintech and retail. Expertise in causal inference, uplift modeling, and MLOps. Known for clear communication, ownership, and shipping measurable outcomes. Combines strong data fundamentals with cross-functional cExperience
Data Scientist II
Microsoft · Hyderabad, India
• Deployed uplift model driving +18% conversion on Copilot upgrade campaigns
• Cut feature-engineering time 4× by migrating Pandas pipelines to Polars
ML Engineer
Razorpay · Bengaluru, India
• Built feature store adopted by 12 ML teams across the org
• Designed experiments lifting primary metric 18%
Projects
churn-uplift · Python, PyTorch
Open-source uplift modeling library — 1.2k GitHub stars.polars-ml-benchmark · Python, Polars
Polars vs Pandas feature-engineering benchmarks; featured in Polars docs.Education
M.Sc, Data Science
IIIT Hyderabad
B.Tech, Mathematics & Computing
IIT Guwahati