About Me
Hi, my name is Taemin Kim. I'm from Portland, Oregon, and I am currently a Data Science student at the University of Michigan, deeply interested in the intersection of sociology, economics, and technology. I’m passionate about exploring how data-driven approaches can help us understand human behavior and societal trends, especially in areas like migration, economic policy, and social systems.
I focus on building interactive data visualizations and simulation models that bridge the gap between raw data and actionable insights. Currently, I'm developing an economic and politics simulation game that uses real-world data and behavioral models to let players explore how policy decisions and social dynamics shape outcomes.
University of Michigan
Bachelor of Science in Data Science
Relevant Coursework:
Programming Languages
Frameworks & Libraries
Tools & Technologies
Research Interests
Areas of focus in data science and policy research
Interactive dashboards and visualizations for complex policy data analysis, focusing on making data accessible to policymakers and researchers.
High-performance simulation models for analyzing policy impacts on complex systems, with a focus on agent-based modeling and real-time scenario testing.
Applied analytics for policy research, combining statistical analysis with machine learning to understand human behavior and policy outcomes.