uday agarwal

I’m an aspiring data scientist with a strong foundation in Mathematics and Computing and hands-on experience turning real data into measurable outcomes. During my EY summer internship (Consultancy), I researched and benchmarked 20+ customer engagement campaigns, designed 15+ lifecycle-based marketing campaigns, and built customer segmentation and journey maps to pinpoint key engagement opportunities.

In my projects, I focus on experimentation, predictive modeling, and automation: I engineered a Bayesian A/B testing platform with MCMC sampling that cut testing duration by 25% and sped up analysis, and I built an interactive Streamlit interface for real-time posterior updates and decision metrics. I also developed a portfolio optimization model using 2D Relative Positional Gated Transformers, plus an “AutoExtract” payment receipt OCR & management system that automates invoice parsing using React.js, Python, OpenCV, and Tesseract OCR. I’m energized by opportunities where I can ship data products, validate decisions with strong metrics/KPIs, and keep learning through challenging problems—backed by standout academic and achievement milestones like top 0.1% in CAT 2025, top 1% in JEE Advanced 2022, and being among the top 200 startups from over 17,000 participants in Eureka, IIT Bombay.