Trishit Pal

At PwC India, I used SQL-driven validation and regression test automation to bring defect leakage to 3% or below and cut post-release escalations by ~20% across 8+ territories. I also built a C#/Selenium pipeline that saved about four hours per cycle per region.

For an internal AI QA tool at PwC India, I owned the requirements and evaluation criteria, assessed chatbot responses with three independent models, and shipped QA Excel packs and stakeholder HTML reports. I also built a RAG knowledge base over Azure DevOps specifications, defects, and backlog items.

In my projects, I built World Indicator Analysis dashboards with Python and Power BI, and developed Smoke Ledger, an ad-free habit-tracking web app, with Next.js/React, FastAPI, and Supabase. I’m pursuing an MSc in Data Sciences & Business Analytics at ESSEC Business School & CentraleSupélec and am seeking a Data Analyst internship in Paris / France for 2027.