Built an end-to-end EV fleet analytics product (Python, Pandas, GeoPandas, Streamlit) simulating 60-vehicle × 60-day operations across 10 urban zones; computed spatial accessibility and downtime risk scores using haversine distance + composite weighting, surfacing an 18% revenue loss from charger-access gaps