Road Crash Severity Analysis

Overview

I used this project to learn end-to-end data analysis: cleaning noisy data, calculating risk and severity trends, training prediction models, and reporting findings.

What I Built

• Data cleaning and preprocessing workflow for multiple source files.
• Analysis pipeline to calculate and compare crash severity and risk factors.
• Predictive model experiments to estimate severity outcomes.
• A written report summarizing methods, key insights, and conclusions.

Stack

Python, pandas, scikit-learn