Eunji Kim
Urban Data Scientist & Architect · NYU
Deconstructing complex urban systems quantitatively to design human-centric environments.
I am an M.S. candidate in Urban Data Science at New York University, focusing on the intersection of architecture and advanced analytics. My work is rooted in the belief that data can reveal the hidden rhythms of a city, allowing for more resilient and intelligent planning.
With over six years of professional experience bridging architectural design, logistics planning, and data analytics, I leverage spatial computing and machine learning to build smarter urban futures.
Academic
New York University
M.S. Urban Data Science
Hanyang University
Bachelor of Architecture
Professional
NYU Strategic Assessment, Planning & Design
Planning Intern
Coupang
Logistics Designer
Gansam Architects & Partners
Architectural Designer
Convertshare
1st Prize — HackathonFeasibility tool for office-to-residential conversions targeting 90M sq ft of vacant Manhattan office space.
NYC Sports Navigator
Spatial search engine for NYC public sports facilities powered by Generative AI across all five boroughs.
Household Energy Burden
ML project predicting energy burden across NYC census tracts from urban form and socioeconomic variables.
Urban Heat & Cool Roofs
Optimization framework for cool roof installations targeting urban heat island inequity across NYC.
Data Analytics
- Python (Pandas, GeoPandas)
- Scikit-learn
- SQL
- PyTorch
Geospatial
- ArcGIS
- Pydeck / Mapbox
- Spatial Modeling
- Location Intelligence
Data Engineering
- MongoDB
- Snowflake
- Data Pipelines
Visualization
- Tableau
- Plotly / Matplotlib
- Power BI
Collaborate on the future of urban systems.
Open to research collaborations, internships, and full-time roles in urban data science. Let's talk about building more resilient cities.