Headline

Sr Manager Data Science at Visa

Location

Bengaluru

AI stack

claude code

notebooklm

githubcopilot

huggingface

ChatGPT

Work experience

Sr Manager Data Science at Visa, Nov 2024 - Present · 2 y, Bengaluru, Karnataka, India, Personalization Team - Owned the design and rollout of an AI-powered Merchant Discovery Platform leveraging LLMs and semantic search to automate merchant discovery across 5,000+ behavioral customer segments, reducing campaign planning time. - Architected an End-to-End Personalization ML Framework enabling one-click development of Domestic Travel Propensity and Spend models across 150+ countries, reducing time-to-market from ~2 months to 1 day. - Led the development of a Next Destination Recommendation System for ~125M US Visa cards, enabling personalized travel campaigns across travel merchants, that improved conversion by 20%.

Data Science Manager at PayPal, Aug 2021 - Mar 2025 · 3 y 7 mo, Bengaluru, Karnataka, India, Payments Optimization. - Engineered an ML-powered Smart Retry Optimization solution, reducing retries by 80% and increasing margins by $6M. - Designed and implemented ML-driven Payment Pre-Authorization Framework for the EU market, preventing issuer declines for 95% of transactions and generating $25M in annual margin improvements.

Associate Consultant at ZS, Apr 2020 - Aug 2021 · 1 yr 5 mos, Pune Division, Maharashtra, India, Real World Evidence & Strategy Team (Patient Level Data) - Built a comprehensive data readiness framework for Oncology data, enabling LOT creation and improving data reliability by 20%. - Automated monthly commercial reporting for 10 hematology drug brands by developing an end-to-end analytics report, reducing reporting turnaround from 2 weeks to 4 hours and supporting 20+ commercial leaders.

Decision Scientist at Mu Sigma Inc., May 2018 - Mar 2020 · 1 yr 11 mos, bangalore, Built AI Enabled ML Solutions & Conversational Chat Bots (R&D Team) - Developed Automated ML solutions for EDA, classification, and regression, adopted by 1500+ data scientists across 150+ business teams. - Enhanced Mu Sigma’s flagship Natural Language Querying (NLQ) platform, showcased in 80+ enterprise client demonstrations annually.

Trainee Decision Scientist at Mu Sigma Inc., Oct 2016 - May 2018 · 1 yr 8 mos, Sourcing Procurement Insights & Enablement (Optimal Procurement) Managed the development and launch of a global sourcing platform integrated with advanced machine learning algorithms, enabling dynamic supplier selection and saving 1400 man-hrs./week for 300+ sourcing managers.

Education

Master of Science - MS, Data Science, Northwestern University

BE - Bachelor of Engineering, Electronics and Telecommunication, Dwarkadas J. Sanghvi College of Engineering