Justin has focused his career on turning disparate data into systems for making strategic market planning decisions. His predictive models and analytical insights have been used in the site selection processes of leading retail, restaurant, healthcare, and other service-providing clients with locations across North America.
Since joining Intalytics, Justin has been responsible for developing and implementing many of the analytical process enhancements, modeling and optimization techniques, and statistical programs used by the modeling group. He currently leads the statistical modeling team from Intalytics’ Dallas office, and oversees the development and evolution of Intalytics’ predictive models.
Justin’s education includes training in consumer behavior theory and advanced quantitative and econometric techniques. He holds Bachelor of Science and Master of Science degrees in Economics from the University of North Texas, where he later served as an Adjunct Lecturer in Economics and continues to be a guest lecturer. The University of North Texas Economics Department named him as their 2017 Distinguished Alumnus. Prior to joining Intalytics, Justin held the position Director of Analytics at the Buxton Company.