Summary
Hyunjoon Sang is a data and AI leader based in Seoul with 12+ years of cross-industry experience and a focused recent track record as a Senior Consultant (Data Scientist) at CJ Logistics. He blends practical production engineering from early roles in machine control and ETL with modern ML/DL modeling applied to logistics, manufacturing, and tire forecasting problems. Trained with an MSc in Data Science and Analytics from Royal Holloway, he moves projects from messy, large-scale data pipelines to deployable predictive solutions. At NEXEN TIRE he delivered forecasting and insight extraction using machine learning and deep learning, building on earlier hands-on automation and process-improvement work at STATS ChipPAC. Known for translating operational constraints into pragmatic models, he balances research-informed methods with engineering rigor to drive measurable business impact. His concise GitHub presence hints at a practitioner who prioritizes applied outcomes over public-facing repositories.
4 years of coding experience
7 years of employment as a software developer
Master of Science - MS Data science and Analytics, Master of Science - MS Data science and Analytics at Royal Holloway, University of London