Explorer Transportation Data Science Project

Crash pattern analysis by day of week, borough, and weather to support road-safety recommendations.

Python Pandas Google Colab Data Visualization

Artifacts

View Certificate (PDF)

NSDC Certificate of Completion — Explorer Transportation Data Science Project (data cleaning, time series, geospatial analysis, and visualization).

NYC collision analysis poster — explored crash patterns by day of week, borough hotspots, and weather conditions to support safety recommendations.

Overview

As part of the NSDC data science program, I completed a project analyzing NYC transportation data to identify crash patterns and support safety recommendations. I cleaned and analyzed collision data using Python and Pandas in Google Colab, creating visualizations to explore trends by day of week, borough hotspots, and weather conditions.