Summary
Jungwon Woo is a data analyst based in Seoul with a decade of analytical experience and a BS in Statistics from the University of Wisconsin–Madison. Over the past four years he has focused on financial and insurance analytics—building XGBoost-based automated underwriting models, automating SQL–Python data pipelines, and analyzing big-data roll rates and customer inflows for institutions like Kyobo Lifeplanet and Korea Credit Bureau. He combines rigorous statistical grounding with practical engineering skills (web scraping and production-oriented automation) to turn complex datasets into actionable business evidence. Comfortable in both public-sector and corporate environments, he also has experience teaching statistics, which helps him communicate insights clearly across teams. Quietly obsessed with building “something awesome,” he blends curiosity-driven experimentation with results-oriented delivery.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of Wisconsin-Madison