Big data analysis of 2025 California car crashes

[ with: Gokul Anand, Sajid Kaiser, Fellip Oklas ] This project analyzes 2025 California car crash data to identify patterns in timing, severity, and contributing factors. The work focuses on transforming raw records into actionable insights for safer planning. Research focus: - Crash incidence by hour, weekday, and weather conditions - Correlations between vehicle type and injury outcomes - Regional trends for highway and urban environments The goal is to turn large datasets into clear visualizations and recommendations that support public safety decisions.