Junheung P.

8+ years of experience in transforming business with data science solutions leveraging machine learning, time series forecasting, anomaly detection, discrete event simulation, and optimization in the supply chain and operations management. 4+ years of experience in building and leading data science teams

Collaborate with teams consist of researchers in universities and/or industries to develop an intelligent decision support system for their business needs. Create a new predictive modeling framework to improve the prediction performance. • Analyzing high-dimensional unstructured/structured datasets to provide business insights and direction with the team. • Conducting literature reviews on machine learning. • Conducting comparative analyses of prediction performance of machine learning methods • Performing comparative experiments on feature selection methods and missing value imputation methods. • Developing innovative predictive models to improve the predictability using statistical and optimization modeling. • Maintaining and updating MSSQL/MySQL database systems.

• Instructor for Engineering Computation. • Graduate teaching assistant for courses Introduction to Six Sigma, Integrated Product Development, Design in Engineering, and Matrix Computation. • Undergraduate teaching assistant for courses Statistical Quality Control, Design of Experiments, and Introduction to Operations Research.

Develop and implement visualization support tools to compare and integrate vehicle parts information • Analyzed data format (PLMXML) to develop data structures to represent the part information. • Examined various data structures in their search performance. • Developed a C++ based tool with to implement the methods.