Daniel Obermiller comes to SAS following 21 years with The Dow Chemical Company, where he was a Six Sigma Technology Leader and certified Master Black Belt. Dan also was a consulting statistician at Dow – with particular support in R&D, consumer products and emulsion polymers – and the company’s statistical software contact, including JMP Product Manager since 1992. He also co-authored a JMP companion guide for Statistical Methods for Engineers by Geoff Vining. He has coached more than 200 successful projects and certified more than 150 Green Belts and Black Belts, and his efforts in Six Sigma helped Dow deliver more than $1 billion yearly in Six Sigma savings.
Dan received a bachelor’s degree in mathematics from John Carroll University in Cleveland and a master’s of applied statistics from The Ohio State University.