December 2018 PhD graduate in Research, Evaluation, Measure, and Statistics from the University of Kansas. Pete specializes in developing statistical models directed toward the identification and improvement of throughput drivers and an increase in Estimated Value Added Time (EVAT). He has experience as both a business owner and an educator.
"My position at KEA allows me to statistically support the changes implemented by the parts and service departments and use my creativity to discover additional avenues that lead to increased dealership profitability."
Outside of KEA, Pete enjoys relaxing with his family and friends and continues to be a life-long learner in numerous subject areas.