Uma V. — Director of Engineering

Data Science and Modeling professional with 20 + years' experience in the Financial Services and Retail industry. Experience in Decision Science, Predictive Modeling, Product analytics, Credit Cards Acquisitions, Portfolio Management, Payment Analytics, Fraud Strategy, Data Science, Machine Learning modeling (GenAI, Computer Vision, CART, Random Forests, Boosting, XGboost, Deep Neural Networks, Convolution Neural Networks, Sequence models) for Retail Portfolios. Specializes in Credit and Fraud Risk Modeling/Strategy Development, Machine Learning Modeling, Loss Forecasting, Acquisition and Account Management including Approval Decline Strategies, Credit Line Management, and Segment Profitability Management Specialties: Deep Learning Deep Neural Networks Convolution Neural Networks Sequence Models NLP Machine Learning Predictive Modeling Predictive Analytics Payment Analytics Credit Scoring Fraud Modeling Portfolio Analytics and Oversight Credit Card Lending Mortgage Lending Segmentation Credit Risk Analytics Web Analytics Loss Forecasting Risk Originations Statistical Analysis and Modeling Model Development Risk Underwriting Architecture Design and Implementation Decision Engine Fraud Decision Engine

Stackforce AI infers this person is a Fintech expert specializing in Data Science and Risk Analytics.

Location: San Jose, California, United States

Experience: 26 yrs 4 mos