Brian Mc Neal
About Brian Mc Neal
Brian Mc Neal is the Data Science Manager for Single Family Analytics at Fannie Mae in Plano, Texas, with a strong background in business analytics and economics.
Company
Brian McNeal is currently employed at Fannie Mae in Plano, Texas. Fannie Mae is a government-sponsored enterprise that focuses on expanding the availability of affordable mortgage financing. Within Fannie Mae, Brian contributes significantly to the Single Family Analytics division.
Title
Brian McNeal holds the position of Data Science Manager, Single Family Analytics at Fannie Mae. His role involves managing data science initiatives and leading efforts to develop data-driven strategies for single-family housing analytics.
Education and Expertise
Brian McNeal completed a Graduate Business Analytics Certificate Program at Southern Methodist University in 2015. He also holds an M.S. in Economics and a B.B.A. in Economics from the University of North Texas, completed in 2006 and 2004 respectively. Brian is proficient in advanced analytics tools such as SAS, SQL, R, Python, Tableau, and Domino.
Career Background
Brian McNeal has extensive experience in analytics and data science roles. He has worked at Fannie Mae in various capacities, including Data Science Lead Associate and Data Science Senior Associate. Before his current role, he was a Senior Business Analyst at REDC Default Solutions, LLC (an Auction.com company) and a Manager of Sales Analytics at MiddleBrook Pharmaceuticals, Inc. He also served as Credit & Portfolio Risk Analyst III, Vice President at Citi and an Economics Research/Teaching Assistant at the University of North Texas.
Achievements
Throughout his career, Brian McNeal has been instrumental in developing and implementing data-driven strategies for single-family housing analytics. He mentors junior data scientists and analysts, sharing his expertise in advanced analytics tools. His strong background in both business analytics and economics enables him to combine technical skills with economic theory to solve complex problems effectively.