Multi-dimensional Analytics Project on Road Accidents of India.

A Machine Learning approach to estimate the likelihood of road accidents based on road, weather, and environmental conditions

A Data Science web application visualizing the road-accidents of New York City

Examining accident data to uncover patterns, understand contributing factors, and support road safety improvements

This project features an Excel-based interactive dashboard that visualizes comprehensive road accident data. The dashboard provides insights into fatal, serious, and slight casualties, along with detailed breakdowns by road type, surface conditions, light conditions, vehicle types, and geographical areas.

Machine learning project done during Monsoon Semester 2023 in IIITD.

Developed an interactive Road Accident Analysis Dashboard in Microsoft Excel using Pivot Tables, Pivot Charts, and Slicers to analyze 896K+ casualties by severity, vehicle type, road conditions, and yearly trends. Enabled dynamic filtering and year-over-year comparison to support data-driven decision-making.