Pritish Zinzuwadia is a seasoned quantitative modeler with extensive experience in credit risk modeling and predictive analytics. Currently employed at Wells Fargo since June 2019, Pritish specializes in the development of credit risk models for mortgage and auto portfolios. Prior roles include serving as a Senior Statistical Modeler at Equifax, where Pritish led development of the Equifax Insight Score for personal loans and engaged in risk analytics across various portfolios. Additional experience includes positions in healthcare fraud analytics at NCI, Inc., data management at The Walt Disney Company, and teaching assistance at The University of Texas at Dallas. Pritish holds a Master of Science in Computer Science with a specialization in Machine Learning from Georgia Institute of Technology, along with two other master's degrees and a bachelor's degree in engineering.