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Nicholas Darschewski is an experienced Lead Data Scientist with a background in developing models and strategies for Credit Fraud detection and prevention. With a Master of Science in Applied Statistics from Texas A&M University and dual Bachelor's degrees in Mathematics and Computer Science, and Economics from Colorado School of Mines, Nicholas has worked in various roles at companies like Guild Education, Transamerica, and Nordstrom fsb. Nicholas's expertise lies in developing predictive models for credit collection, fraud detection, and loss projections.