D. W.

D. W. is a dedicated Machine Learning Engineer with a strong background in data analysis and predictive modeling. They served as a research assistant at The Wharton School, where they estimated the market scale of software services outsourcing and processed transactional data. As an independent student researcher at the University of Pennsylvania, they developed a highly accurate prediction model for student alcohol consumption using machine learning techniques. D. W. has worked at IBM as a Machine Learning Engineer and Managing Consultant, focusing on end-to-end machine learning pipeline development, and currently holds a position as a Software Engineer in Machine Learning at Meta. They are pursuing a Master of Science in Systems Engineering at the University of Pennsylvania while also studying for a Bachelor of Science in Mechanical Engineering at Purdue University.