B.Tech (Honours) ICT with Minor in Computational Science — Pre-Final Year Dhirubhai Ambani University, Gandhinagar

I'm focused on Data Analysis and AI/ML, with DSA in C++ as my daily fundamentals practice. I build end-to-end projects — from data pipelines to model explainability to deployment — and prefer understanding concepts from first principles over copying tutorial code. Currently looking for internships in software engineering, data/ML, and analyst roles.

Languages

ML & Data Science

BI & Analytics

Tools & Platforms

• Practicing Data Structures & Algorithms in C++
• Building end-to-end ML projects (EDA → modeling → explainability → deployment)
• Strengthening SQL/PostgreSQL fundamentals
• Open to internship opportunities in SWE, Data/ML, and Analyst roles

• HealthWealth AI (Insurance Cost Prediction) — Leakage-safe regression pipeline benchmarking 8 algorithms; Gradient Boosting selected (Test R² = 0.8864). Includes SHAP explainability and subgroup fairness validation (R²: 0.852 non-smokers, 0.764 smokers).
• Hospital ER Operations Analytics Platform — 4-page Power BI dashboard on a star-schema model, with a Power Query ETL pipeline processing 9,216 ER records across 19 months and custom DAX measures for wait time, satisfaction, and referral tracking.

Data Structures & Algorithms · Object Oriented Programming · Database Management Systems · Computer Systems Programming · Linear Algebra · Statistics