Peter Kim

Peter Kim is a Senior Consultant at Protiviti, specializing in Risk & Compliance Analytics with experience in developing machine learning models on AWS SageMaker to predict equipment failures and optimize maintenance schedules. They have addressed data quality challenges and class imbalance issues through innovative techniques, including Bayesian transformations and SMOTE. Peter previously served as a Strategy Associate at an IoT startup and has held various roles at Protiviti, including Consultant and Manager, focusing on risk management and model validation. They hold a Bachelor of Science in Accountancy and Finance from Gies College of Business, University of Illinois Urbana-Champaign, and a Master of Financial Engineering from UCLA Anderson School of Management.