Chaoye Pan is an experienced data science supervisor and tech lead at Ford Motor Company since January 2017, specializing in supplier performance risk sensing and mitigation. Notable achievements include leading the launch of the Cost Control Center, which yielded $15 million in annual cost savings, and the EP Assist Tool, which identified $16 million in savings opportunities. Prior experience includes roles as Sr. Continuous Improvement Lead at Halliburton, overseeing wireline logging manufacturing processes, and as a manufacturing engineer at SLB, improving sand control manufacturing quality. Chaoye Pan holds a Ph.D. in Mechanical Engineering and a master’s degree in Statistics and Mechanical Engineering, all from the University of Michigan.
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