Joe Corliss is an experienced Data Scientist currently employed at TriNet since February 2024, with previous experience at Anywhere Real Estate Inc. where significant contributions included the development of a regression model to enhance real estate agent recruitment, resulting in a 24% increase in sales growth while analyzing a vast dataset of agents across various markets. Joe's background also includes a role as an Associate Data Analyst at ZapLabs, where collaboration on machine learning models focused on agent sales and churn prediction was key. Joe has a strong educational foundation in mathematics, holding a Master of Science in Applied Mathematics from the University of California, Davis, and a Bachelor of Science in Mathematics with a minor in Physics from William & Mary. Additionally, Joe has a diverse research background, including internships and collaboration at NASA Langley Research Center and serving as a math instructor and tutor at UC Davis.
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