M.Tech (AI & Data Science) student at JIIT Noida and AI Automation Intern in the Tech & AI team at CEEW.
Most of my work starts with a large public dataset and a practical question. Right now that means climate and crop data at CEEW, air quality data from CPCB for my industrial project, and city crime records for a research paper.
| Project | About | Built with |
|---|---|---|
| India AQI Hotspot Analysis | Rebuilds daily AQI for 579 CPCB stations from hourly data, checks data quality and finds where air is persistently worst (in progress) | Python, pandas, GeoPandas, PySAL |
| Urban Crime Sense | Predicts crime hotspots from 7.8M+ Chicago records with a hybrid XGBoost + LSTM model, validated on Los Angeles data | Python, XGBoost, PyTorch, SHAP, Folium |
| Suicide Trend Analysis | Chi-square tests and an interactive dashboard on 2022 suicide data for Indian states | R, Shiny, ggplot2, plotly |
| Job Market Analysis | Dashboard on 20,000+ Naukri postings for data science and analytics roles | Power BI, Power Query, DAX |
Languages: Python, SQL, R, C++
ML and data: pandas, NumPy, scikit-learn, XGBoost, SHAP, SciPy
Visualisation: Power BI, Matplotlib, Seaborn, plotly
AI tools: Claude Code, Claude Cowork