Projects

A data analytics case study exploring how annual members and casual riders use Cyclistic bike‑share services differently. Using 5.6M+ rides from 2022 and Python, this project uncovers behavioral patterns in ride length, day of week, bike type, and seasonality to support membership growth strategies.