Jesse Pan

Jesse Pan is a supply chain professional with approximately three years of experience in data engineering, analytics, and supply chain improvement. Currently, Jesse serves as a Supply Chain Manager at Amazon and is pursuing a Master's in Business Analytics at Carnegie Mellon University. Previously, Jesse worked as a Supply Chain Data Analyst at HP, where notable achievements included enhancing supplier schedule accuracy and developing a Python ETL pipeline. During an internship at NXP Semiconductors, Jesse led a project that reduced factory cycle time by 35% amid a wafer shortage. Jesse's expertise also encompasses predictive modeling and automation, demonstrated through work at A.P. Moller - Maersk, where they trained a highly accurate machine learning model to address supply chain issues.