University of Pennsylvania | Master of City Planning Candidate Expected May 2026
Transportation & Infrastructure Analyst | GIS + R Studio | Data-Driven Urban Decision Support
I am a Master of City Planning student at the University of Pennsylvania specializing in sustainable transportation and infrastructure planning, with a strong focus on quantitative analysis and spatial modeling.
My work sits at the intersection of data, infrastructure, and decision-making. I use tools like R Studio and ArcGIS Pro to analyze transportation systems, economic performance, climate vulnerability, and urban change, translating complex datasets into insights that support strategic planning and investment decisions.
I’m strongest when answering specific analytical questions, building clean datasets, modeling patterns, and producing clear, decision-ready outputs. While I can present and write effectively, my preference is contributing the analysis that drives strategy. Currently seeking entry-level analyst or planning roles where data, infrastructure, and cities intersect, in environments with strong structure, mentorship, and clear growth paths.
Concise overviews of selected projects, emphasizing key findings, visualizations, and applied insights. These summaries focus on results and interpretation, with maps, figures, and brief explanations of the analytical approach.
Full technical reports documenting analytical workflows, including data preparation, modeling, code, and written analysis. These reports emphasize methodological rigor, reproducibility, and detailed interpretation in PDF form.
In my Transportation Planning coursework at Penn, I have tackled projects spanning aviation, intercity travel, micromobility, public transit, and urban policy, developing skills in analyzing large datasets and translating findings into actionable strategies. For example, I evaluated FAA Bureau of Transportation Statistics data to assess hub airport performance and financial patterns at JFK, Newark Liberty, and LaGuardia Airports; modeled intercity travel behavior among Penn faculty and staff using SEPTA ridership data, Amtrak records, and DVRPC Household Travel Survey results to recommend carbon reduction strategies; and created spatial visualizations of SEPTA trolley ridership to identify key demand patterns. I also developed a phased strategy to increase cycling mode share in Philadelphia through scenario modeling of cyclist typologies, proposed transit-oriented development policy reforms, and analyzed how minimum parking mandates affect affordability, sustainability, and mode shift.
Beyond transportation, I conducted equity-focused spatial analyses, including applying K-means clustering in R with American Community Survey (ACS) block group data and modeling optimal locations for COVID-19 response centers in NYC by integrating demographic, land use, housing, and transit accessibility datasets. I have also helped develop a comprehensive plan for Coatesville, PA, as part of a semester-long studio project.
I have actively sought opportunities to engage in the future of city and regional planning. I was selected to serve as a board member for the upcoming Wharton Future of Cities Conference (February 2026), where I am part of the operations team. In this role, I collaborate with peers from the Wharton School and the Weitzman School of Design, as well as external partners, to coordinate logistics, manage stakeholder engagement, and ensure seamless event delivery that brings together leaders across planning, business, and policy to foster collaboration on the future of cities.
Previously, I worked as a Geospatial Data Processor at Apex Surveys, a geospatial land surveying firm. As part of the technical team, I processed photogrammetry, LiDAR, and ground-penetrating radar (GPR) datasets to generate precise 3D AutoCAD drawings, intelligent models, and technical reports. My work contributed directly to delivering client-ready deliverables and provided me with practical experience in applying advanced geospatial methods to support infrastructure and transportation projects.