Joel brings 8 years of experience leveraging data & analytics to drive business growth and improve operational efficiencies. With a bias for action and a passion for statistics, Joel believes leveraging data is the key to creating and maintaining a competitive advantage in today’s marketplace. Most recently, Joel built classification model that significantly reduced customer churn likelihood, increasing average revenue per sales representative by $400k. In other engagements, he utilized predictive modeling to forecast revenue – 6 months out with 97.5% accuracy – and has delivered automated, global reporting solutions to improve supply chain transparency – saving the company an estimated 350k per year.
A Northwesterner at heart (or as he calls it a “granola”) – he is an avid mountaineer, rock climber, biker and yogi.