Gary Gremaux is a data specialist with over 20 years of experience in data analysis and database management and programming. He has a deep understanding and background in data science, a strong background in statistics, and a passion for finding insights in data and creative problem solving.
He joined PATH in 2015 to help build predictive models, provide data analysis, data systems design and implementation, and research support services for the program.
Prior to joining PATH he designed and delivered data analytic solutions for various companies to provide insights to business and optimize business processes.
Gremaux has a Bachelors Degree in Math with a concentration in Statistics from UC Irvine.