B.Tech Data Science at MPSTME, NMIMS Mumbai
I'm a Data Science student
Aspiring Data Scientist who enjoys building intelligent solutions with data, AI, and technology.
I'm a second-year Data Science student at MPSTME, NMIMS Mumbai. I finished school at Wynberg Allen in Mussoorie before moving to the city to study.
I like projects where data meets a real problem: keeping patient records private on a device, finding out what actually decides a cricket match, or turning a hundred thousand orders into a story a business could act on. I learn fastest by building something, deploying it, and seeing where it breaks.
A machine learning healthcare app that pulls fragmented patient records into one health history. It spots disease trends, correlations and care gaps from prescriptions, lab reports and clinical notes. It runs fully on-device and offline to protect patient privacy, and was tested across 75+ real-life scenarios.
A TensorFlow model trained on 17 years of IPL data. I cleaned and scaled the data, ran EDA to find what drives outcomes, and reached 59% accuracy. It's deployed as a working application.
An analysis of about 100K orders across 9 relational tables using JOINs, CTEs, CASE WHEN and window functions (LAG, RANK, SUM OVER). It surfaced a 52% month-over-month revenue spike and a repeat-customer rate of about 3.1%.
An AI code-review platform with a side-by-side view of original and corrected code, so every fix teaches something. It uses Firebase for authentication and the Gemini API for real-time feedback.
Open to collaborations, hackathon teams and conversations about machine learning, data and AI.