Daegeun Kim

Daegeun Kim is a Data Scientist and a Computational Designer with a background in architecture and construction, currently pursuing an M.S. in Computational Design Practices at Columbia University. His work focuses on data-driven design and geospatial analysis for urban and real estate decision-making.

With professional experience across South Korea, Hungary, and the United States, he has managed large-scale construction projects and contributed to architectural design teams. Bridging design and data, he explores how computational methods can shape innovative approaches to the built environment.

Education

Jun 2025 – May 2026
Columbia University | M.S. Computational Design Practices | New York, NY
Sep 2017 – May 2023
The University of Hong Kong | B.A. Architectural Studies | Hong Kong

Experience

Mar 2024 – May 2025
HanmiGlobal | Assistant Construction Manager/Inspector | Pyeongtaek, Korea
Nov 2023 – Feb 2024
HanmiGlobal | Assistant Project Manager | Budapest, Hungary
Aug 2023 – Nov 2023
OTAK | On-the-Job Training | Portland, OR, USA
Jun 2022 – Aug 2022
SOSU Architects | Architectural Intern | Seoul, Korea
Aug 2019 – Mar 2021
Republic of Korea Military Service | Artillerist | Paju, Korea

Qualifications

Korean Certified Architectural Engineer
LEED Green Associate

Languages

English, Korean, Mandarin Chinese

Skills

Python, JavaScript, SQL
Pandas, NumPy, Matplotlib, scikit-learn, GeoPandas, shapely, D3.js
Rhino + Grasshopper, QGIS, Revit, AutoCAD, SketchUp
Adobe Illustrator, InDesign, Photoshop, Lightroom, Premiere Pro