Solving business problems with data & AI.
Download Résumé ↓I'm a consultant at PwC India in the Oracle practice. The route here wasn't direct — I started in nanotechnology research, did applied AI and full-stack work at a software company in Kerala, ran operations for an oilfield services firm in Abu Dhabi for almost three years, and went to IIM Udaipur for an MBA before joining PwC.
That mix tends to show up in how I work. I'm at home in SQL and Python; I'm also at home in a stakeholder meeting translating what the data is actually saying. The problems I find most interesting are the ones where both have to happen at once.
Implement Oracle Fusion for enterprise clients in financial services and manufacturing — primarily AP, AR, Procurement, and Payments. The work moves between PL/SQL on the database side, Fusion configuration on the application side, and OIC for the integrations between them. Plus the Python scripts to handle whatever the standard tooling can't.
Summer internship during the MBA. Three months on the research side, working on data-driven projects feeding into the kind of recommendations Gartner publishes for its clients.
Five-person team, three new products shipped, and a new automation vertical built from scratch. The flagship was an ML system for the Amadeus ticketing platform that predicted airline fare drops at 72% accuracy. Also ran the security side — pen-testing, exploit discovery — and pushed the team off ad-hoc version control onto git-flow.
Almost three years running operations at an oilfield services firm in Abu Dhabi. Cut operating costs by over 26%, trimmed project turnaround time by 12%, and took 30% off backend headcount needs by redesigning how inventory, accounting, and project ops actually ran. Also set up an in-house material testing centre and replaced the legacy IT and telephony stack.