Here, I analyze the Road Safety and Traffic Demographics dataset (UK), containing accidents reported by the police between the years of 2004 - 2017.

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.

A machine learning project that predicts the severity of road accidents (Slight, Serious, Fatal) using UK traffic data, with Random Forest and exploratory data analysis to identify key contributing factors like weather, lighting, and speed.

Data-driven analysis of U.S. traffic accident severity using PySpark. Identifies temporal, spatial, environmental & infrastructure factors—revealing that traffic control & POIs significantly reduce high-severity crashes.