Works

An end-to-end data engineering pipeline that ingests daily NEPSE stock data, transforms it with dbt, and validates data quality automatically — fully automated, running every trading day with zero manual intervention.

End-to-end analytics project turning ~289K messy NYC DOHMH inspection records into a cleaned SQL Server database and a 5-page interactive Power BI dashboard, uncovering which cuisines and neighborhoods face the highest food-safety risk.

Interactive Power BI dashboard analyzing 19 months of ER activity (9,216 patient visits) — surfacing wait time issues, satisfaction trends, referral patterns, and staffing/peak-time insights for ER operations teams.

End-to-end analysis of 2.2M+ NYC crash records (2012-2025) using SQL Server, T-SQL, and Power BI — cleaning messy raw data and building a 7-page interactive dashboard with policy recommendations on pedestrian safety, high-risk corridors, and vehicle-type risk.

The MERN Blog App is a full-stack web application designed to provide users with a smooth and engaging reading experience.

A simple personal portfolio built using Next.js to showcase my work and skills.