Sandra Duenas, M.Sc., is a seasoned data scientist with extensive experience in analytics, machine learning, and data architecture across various industries. Currently serving as a Senior Data Scientist at Steampunk, Inc., Sandra authored the "Machine Learning Modeling Pilot Guidance" for a USDA project, which includes informative video content and detailed documentation. Previous roles include Senior Data Scientist at Mercer, focusing on enhancing product recommendation systems using advanced algorithms, and Data Scientist positions at Cotiviti and Health Integrated, Inc., where contributions included developing analytics-driven solutions and informatics strategies. Sandra holds a Master of Science in Predictive Analytics from Northwestern University and a Bachelor of Science in Business Administration, specializing in Computer and Information Sciences, from the University of Florida.
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