B.E. in Electronics & Computer Science (University of Mumbai), focused on data analytics, data science, and AI/ML. I've shipped a deployed full-stack civic platform, built ML models on real datasets, and worked as a data science intern designing feature pipelines.
- Currently → actively interviewing for entry-level Data Analyst / Data Scientist / ML roles
- Ask me about → churn prediction, time series forecasting, full-stack deployment, SQL
- Based in → Mumbai, India
Data / ML
Databases / Web
| Project | Description | Stack |
|---|---|---|
| NagarSeva | Full-stack civic issue reporting platform for Mumbai residents — citizen/admin roles, RLS, live maps, deployed | React · Supabase/PostgreSQL · Leaflet.js · Vercel |
| Customer Churn Prediction | Gradient Boosting model predicting customer churn (F1: 0.81) | Python · scikit-learn · XGBoost |
| Time Series Forecasting | ARIMA, SARIMA & smoothing techniques on sequential data | Python · statsmodels · pandas |
| Speech Emotion Recognition | Classifies emotional state from speech audio features | Python · scikit-learn / TensorFlow |
| CNN Digit Recognizer | Convolutional neural network for handwritten digit classification | TensorFlow/Keras · NumPy |
| Heart Disease Predictor | ML classification on clinical indicators to predict heart disease risk | Python · scikit-learn · pandas |
- Technical Intern, DV Promotions (Dec 2024–May 2026) — schema design, B2B wholesale platform work
- Data Science Intern, Zidio Development (Jul–Oct 2024) — feature table design, forecasting pipelines
· · ·
"The best way to predict the future is to build it."