Created databases for cities by utilizing public transit operational data, telematics and contextual data, including weather, trip distance, elevation, and more available on web. Conducted Spatio-temporal data analysis of schedules, routes, trips, passengers to compute fleet parameters. Built models to quantify key performance indicators (KPI’s) in accordance to Public Transport companies, such as total cost of ownership, carbon emissions, health impacts, and powertrain performance. Developed software tool, including database, business logic, application, and dashboard to predict and compare diesel and electric bus performance based on user inputs and model estimates, as well as identify best bus routes for electrification. Coordinated multiple tasks from initiation to completion in a deadline-driven environment.
●Established Cloud based platform for Electric Bus Fleet Planning to ingest, analyze and visualize best bus routes forelectrification for typical public transit companies.
Advisor - Prof. Scott Moura