Hosung Lee is a data analyst with over 10 years of experience applying engineering rigor to large-scale data problems across supply chain, power distribution, and academic ML research. Based in Seoul, he specializes in ETL automation and warehousing—managing 50–60M daily rows via Python and MS SQL—and builds Power BI dashboards and DAX queries that translate KPIs into C-level decisions. He has implemented time-series demand forecasting and unsupervised techniques like PCA and K-means to drive sales strategy and market penetration for U.S. operations. His background blends an MS from Rutgers and hands-on grid analytics from LS ELECTRIC, giving him a rare mix of domain knowledge in electrical systems and practical production ML. Notably, his public GitHub points to a focused shift toward a new profile (@hlee-ai), signaling an active pivot toward AI-driven analytics.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Rutgers University–New Brunswick
Bachelor's degree, Bachelor's degree at Hanyang University
The purpose of this project is to encrypt and decrypt photos using the RSA algorithm.
Contributions:67 commits, 2 PRs, 51 pushes in 2 months
pythonrsarsa-algorithmpurposedecrypt
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