(Continues on back)

BARRY E KING DBA

**** ****** **** * *****, Indianapolis IN 46214, 317-***-****, adtm14@r.postjobfree.com Professional Summary

Data analytics professor, department chair, consultant, and author with over thirty years’ experience. Skills

• SAS

• SAS Enterprise Miner

• SAS OPTMODEL

• R

• Gurobi

• Basic Python

• Descriptive statistics

• Predictive analytics

• Prescriptive analytics (operations

research)

• Google AutoML

Experience

Senior Consultant, Qualex Consulting Services 2/2010-present

• Lead on large scale SAS NETWORK programming problem for west coast food producer

• Sole consultant on developing inventory control software in SAS for electronics sales company

• Developed dynamic pricing model for sports organizations

• Trainer for SAS Enterprise Miner for national casino

• Trainer for SAS JMP for a financial services company Associate Professor, Butler University 8/1991 – present

• Department chair for three years with twelve people reporting to me

• Principle investigator on numerous research studies with faculty and student research assistants

• Taught classes in database design (SQL), predictive analytics, and operations research Operations Researcher, Seventh Wave Technology, Atlanta 1/2000 – 5/2000

• Developed multi-knapsack assignment algorithm for remote SAP help desk Associate Professor, Marquette University 8/1985 – 7/1991

• Researched topics in operation management

• Taught classes in statistics, operations management, information technology, MBA operations management

Assistant Professor, Ohio State University 8/1979 – 7/1985

• Taught MBA and Executive MBA operations management classes

• Participated in large scale plant simulation to study the effects of Japanese plant policies on U.S. factories. Study appeared in Harvard Business Review and won best paper for Management Science

Systems Analyst, US Army Aviation Systems Command, St. Louis 8/1971 – 7/1974

• Developed combat helicopter simulation in FORTRAN as civilian mathematician

• Cost analyses like spreadsheet analyses before Lotus or Excel Education

• Post-Doctorate class in predictive analytics, Washington University in St. Louis, 2016

• Doctor of Business Administration, Indiana University, 1974-1979 o Dissertation: Master Production Scheduling in the Assemble to Order Environment: A Comparison of Two Techniques

o Majored in operations management, minored in computer science

• Master of Science work, Washington University in St. Louis, 1968-1971, in applied mathematics and computer science. Program interrupted by active military service. No degree earned. Thesis work on global convex linear decomposition algorithms

• Bachelor of Arts, University of Missouri -- St. Louis, 1965-1968. Mathematics major Relevant Recent Research

• National Institutes of Health Research Grant, “A Holistic Machine Learning and Prescriptive Analytics Approach to Developing a Month-Long Surgery Schedule.” $276,000 request. Pending

• King, B.E., (2020), Assigning associates to shifts for an on-site before and after childcare program, International Journal of Recent Engineering Research and Development, 5(6), June 2020, 25-28.

• King, B.E., Davidson, J., (2019). Using Machine Learning to Predict Sales Conditional on Bid Acceptance. SSRG International Journal of Economics and Management Studies 6(11), 1-3.

• King, B.E., Pollard, T., Rice, J., & Siegler, J., (2019), Assigning Triaged Patients to Treatment Rooms in a Hospital Emergency Department, International Journal of Clinical & Medical Informatics, vol 2, issue 2, 71-81.

• King, B. E., Rice, J. L., & Vaughan, J., (2018). Using machine learning to predict average attendance at National Hockey League game, The Journal of Prediction Markets, 2018 Vol 12 No 2 pp 85-98.

• King, B. E. & Rice, J., (2018), Predicting attendance at Major League Soccer matches: a comparison of two techniques, Journal of Computer Science and Information Technology, December 2018, Vol. 6, No. 2, pp. 15-22.

• King, B. E. (2017). Predicting National Basketball Association game attendance using random forests, Journal of Computer Science and Information Technology, 5(1) pp. 1-14.

• King, B. E., Leach, A., Platt, M., & White, D. L., (2017). Scheduling surgical operations and the post- anesthesia care unit using work tours and binary programming. AIMS International Journal of Management, 11(1), 101-109.

Contact this candidate