RJ
About
Currently, I build anomaly detection, forecasting and agentic analysis systems for the Microsoft Ads marketplace. Previously solved logistics problems using optimization for a large beverage company, and worked on Deep Learning applications in material design and discovery. In my free time, I explore the world of start-ups, watch football, read, and solve cryptic sudokus like this one.
Work Experience
MicrosoftMicrosoft Ads
2024 - Now
Operational Data Scientist II
Part of the Microsoft Ads Live Marketplace team, building anomaly detection and automated analysis systems, and Live Marketplace owner of Bing Ads Japan (~$250M+ market). Built agentic workflows with reusable tools & skills to automate marketplace analysis and incident investigations. Developed Vantage, an end-to-end app to decompose variance-to-forecast and YoY revenue movements with AI-powered summarisation, saving 20+ analyst hours a week. Built a tool to tune over-firing alerts for a team handling 1500+ alerts a day, and trained time-series forecasting & anomaly-detection models on large-scale marketplace telemetry.
Anheuser-Busch InBev
2022 - 2024
Data Scientist
Logistics analytics for the Africa BU, driving value with a potential of $12M+ annually. Designed, developed and deployed an automated load optimization & scheduling engine for South Africa (MILP-based, near real-time stock swap recommendations) with potential savings of $10M+ annually. Also built a Route-to-market optimization engine for Botswana and a business case for closing a Distribution Centre.
Anheuser-Busch InBev
2021 - 2021
Data Science Intern
Built a ML framework to assess Credit Risk and determine optimal Credit Limits for India BU, reducing risk exposure by $7M annually. Developed a churn model for critical customers, potentially avoiding $1.2M loss. Received a Pre-Placement Offer.
Wipro Consumer Care
2020 - 2020
Process Engineer Intern
Helped increase the daily soap noodle production of the Santoor soap plant from 28 to 60 metric tonnes, running plant simulations & analysis to find the root cause of production inefficiency.
Coca-Cola
2019 - 2019
Supply Chain Intern
Recommended changes to the TMS app improving usage efficiency by 50%, and planned a mobility app deployment to cut Proof of Delivery time by 20 days.
Education
Indian Institute of Technology Madras
2017 - 2022
Bachelor's Degree in Chemical Engineering,
Master's in Data Science
Skills
Python
PyTorch
LLMs & Agents
SQL
KQL
PuLP
Time-Series Forecasting
Anomaly Detection
Mixed Integer Optimization
Azure
AI Assisted Development
Publications
QRChEM
doi.org10.1021/acsengineeringau.3c00055
A Deep Learning Framework for Materials Property Prediction and Design Using QR Codes. Published in ACS Engineering Au, 2023.
Deep Neural Nets
AutoEncoders
Molecular Modeling
Conv Nets