Paul oversees all marketing analytics and predictive modeling projects for SIGMA’s clients, leading a team with an unparalleled ability to bring unique marketing solutions to market.

Paul has more than 20 years of experience in statistical analysis and predictive modeling. His expertise is founded in the financial services industry but has carried over to business-to-business applications and consumer markets in the past seven years. His work has been published in Housing Economics and Marketing journals, and he has presented a number of times at national Direct Marketing Association conferences.

Paul holds a bachelor’s degree in Statistics and Economics from the University of Chicago and a master’s degree in Applied Statistics from George Mason University.