Ben Kerner is a Data Scientist Advisor and Senior Data Scientist at FedEx, where responsibilities include developing predictive models for territory optimization and enhancing customer interaction strategies. Prior experience includes a Business Strategy Analyst role at USAA, where Ben utilized predictive analytics and created dashboards for financial performance reporting. Work as a SAS Programmer at McDermott+Consulting involved analyzing Medicare data and modeling payment impacts. Previous positions at FedEx focused on process automation and data query construction, while early experience includes teaching assistance at the Bryan School of Business and coaching at K Zone Academy. Ben holds a Master of Arts in Applied Economics and a Bachelor of Arts in Economics, both from the University of North Carolina at Greensboro.
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