Swati Sharma is a transportation planner with a background in geospatial analytics, urban systems, and data-driven decision making. She holds a Master of Science in Urban Data Science from New York University's Center for Urban Science and Progress, a Master of City (Urban) Planning from the Indian Institute of Technology Kharagpur, India, and a Bachelor of Architecture from the National Institute of Technology Bhopal, India.

Before joining Modern Mobility Partners, Swati worked on enterprise geospatial data and software initiatives supporting utility infrastructure planning and operations at Con Edison, NY. Throughout her academic and professional career, she has focused on applying data science, GIS, spatial analytics, and quantitative methods to understand transportation systems, urban development patterns, mobility patterns, and infrastructure challenges.

Her experience includes transportation modeling, multimodal network analysis, predictive analytics, GIS application development, and the creation of data-driven planning tools. She has developed interactive web applications, dashboards, and decision-support platforms using Python, R and GIS, to help organizations transform complex datasets into actionable insights. Her work combines technical analysis with planning principles to support more informed and effective decision making.

At Modern Mobility Partners, Swati supports transportation planning projects through GIS analysis, data analytics, modeling, and tool development. She enjoys using data and technology to solve complex mobility challenges and create practical solutions that help agencies and communities make better transportation decisions.