Vice Presidenct
Current Responsibilities: Core Modeling, Loss Forecasting Accomplishments: Lead and developed Pay float Machine Learning Models & Strategies, on Track to deliver $16MM annual impact; Lead and developed innovative TreeFit methods which can significantly improve Rule performance without complicated Machine Learning Models; Lead and developed end to end Deep Learning (CNN / RNN) applications on Credit Risk and Fraud Detection Models; Lead the research on Bayesian Network and Statistical Relational Learning; Supported POS Fraud, Acquisition Bust Out models development; Developed and monitored Quarterly Concentration Limits and KRI reports; Organized and conducted Quant Academy Machine Learning Training for Chase Card Services in Wilmington DE, etc.