Nathan Duvenick is a Senior Data Scientist at Children's Mercy Kansas City, with extensive experience in developing analytical and machine learning solutions across the Finance, Healthcare, and Workforce Automation industries. Prior to this role, Nathan served as a Data Scientist at SS&C Technologies, where responsibilities included the design and implementation of end-to-end solutions, conducting exploratory data analyses, and automating workflows using RPA tools. Nathan's diverse expertise encompasses project work ranging from email content classification to fraud detection and sales territory optimization. An educator at heart, Nathan actively supports a Data Science Center of Excellence through presentations, training sessions, and writings on analytics. Nathan holds a Master of Science in Data Science & Analytics and dual Bachelor of Arts degrees in Political Science and Government, as well as Sociology, all from the University of Missouri-Columbia.
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