Real-time women's safety intelligence platform for Indian cities. Interactive heatmap visualization of crime hotspots, risk-scored zones, police station tracking, riot/protest monitoring, and emergency SOS tools.

Comparing crime in cities based on per capita rates and population scaling adjustment.

Multi-module ML platform for urban crime analytics XGBoost classification, NLP incident categorisation, K-Means hotspot detection, and Prophet forecasting on the Chicago Crimes dataset.

🚔 Serverless data lakehouse on AWS analyzing 100K+ Chicago crimes with Apache Iceberg, Lake Formation governance, and sub-second Athena queries for $6/month

Contractor Training Platform: A comprehensive, production-grade tutorial system designed to onboard contractors to the FBI's official Crime Data Explorer interface. Built with enterprise-level architecture and authentic government styling for professional law enforcement training.

Visual comparisons of crime data for Seattle and San Francisco, with an emphasis on crimes associated with drugs. Implemented in R. Links to rendered HTMLs in README.md.

SafeCity PK is a DB-first full-stack civic-tech prototype that allows citizens to submit public safety reports, enables admins to verify or reject reports, and helps analysts visualize crime trends, hotspots, and risk patterns through dashboards and a database-powered map.

Interactive Streamlit dashboard for monitoring district-level crime trends and forecast-informed risk insights in Chicago.

Exploratory Data Analysis of district-wise IPC crime records in India (2001–2012) using Python, statistical analysis, feature engineering, dimensionality reduction, and hypothesis testing.

Case study examining motor vehicle thefts in New Zealand over 7 months