KITAE KIM

Master's

Data Science

KPMG

Data Scientist

• Generated accurate delivery volume forecasts for Samyang company with an error margin of less than 5% by leveraging ARIMA time series model and Random Forest algorithms (Samyang Co.) • Achieved a 37% reduction in transportation expenses through the implementation of linear and predicti ve model in an optimization framework, optimizing the logistics network (Samyang Co.) • Enhanced electric vehicle charging business plans with ensemble learning models like Random Forest, Gradient Boosting, and logistic regression, resulting in a 15% increase in accuracy (SK E-mobility) • Leveraged Geographic Information Systems and K-means clustering for North America solar module h ub placement optimization for selecting strategic location for competitiveness (Hanwha Co.)