Dhruvi Kothari

Dhruvi Kothari is a Solutions Data Analyst at UrbanFootprint. Dhruvi has also worked as a Transportation Planner/ Data Analyst at Fehr & Peers from July 2019 to June 2021. There, they designed and pilot tested a methodology, and developed python scripts for conducting a level-of-traffic-stress and network connectivity analysis on San Francisco's roadway network. Dhruvi also automated data extraction, transformation, and analysis process for smart-locations data using python scripts which improved the efficiency of project workflows by 20%. Additionally, they assisted in the development of a mesoscopic travel demand forecasting model (4-step), using proprietary software Cube, for Tech-campus in Bay Area to meet the cities requirements.

Furthermore, they assisted in the development of microsimulation models to perform traffic operations analysis to help prepare travel demand management strategies. Dhruvi also performed Transit Network analysis and assisted in building regression-based transit ridership models with extensive feature engineering. Lastly, they designed Tableau dashboards on traffic performance metrics to enable data-driven business decisions and prepared vehicle-mile-of travel analysis, technical memorandums and Environment Impact Reports for client.

Dhruvi Kothari has a Master's degree in Information Data Science from the University of California, Berkeley and a Masters in City Planning with a focus on Transportation Planning & Urban Spatial Analytics from the University of Pennsylvania. Dhruvi also has a Bachelor of Planning from CEPT UNIVERSITY in City/Urban, Community and Regional Planning. In addition, Dhruvi Kothari has completed certification programs in Data Visualization with Python from Codecademy and Spatial Statistics from Wuhan University.

Dhruvi Kothari reports to Moorea Brega, Director, Data Science. They are on a team with Frank Proulx - Senior Data Scientist, Koshy Thomas - Data Scientist, and Tyler Bradford - Solutions Data Analyst.