Barry E. King, D.B.A.
St. Louis, MO *****
317-***-**** *****.*.****@*****.***
PROFESSIONAL SUMMARY
Over thirty years of researching, teaching, and consulting in the field of data analytics. I am currently retired, but still working as needed for Qualex Consulting Services. As department chair and project lead, I have experience leading teams to achieve their goals.
SKILLS
- Leadership skills - Descriptive statistics
- Project management - Predictive analysis
- Quantitative modeling - Prescriptive analysis
- Applied machine learning - Productionized models
- SQL - Python
EMPLOYMENT HISTORY
DIRECTOR OF ANALYTICS
QUALEX CONSULTING SERVICES 10/2023 TO PRESENT
• Lead a large-scale predictive analytics project for a Florida-based client, enhancing operational efficiencies. Results were adopted company-wide for mass marketing
• Principal investigator for National Institutes of Health study on predicting the length of surgeries and then scheduling them using operations research techniques. The project will use 500,000 surgical records and large-scale operations research mathematical models to plan surgeries. Proposal pending ASSOCIATE PROFESSOR
BUTLER UNIVERSITY 8/1991 TO 5/2023
• Department chair for three years with twelve people reporting to me
• Principal investigator on numerous research studies with faculty and student research assistants
• Taught advanced analytics courses, mentoring the next generations of data scientists and analysts
2
EDUCATION
INDIANA UNIVERSITY DOCTOR OF BUSINESS ADMINISTRATION 1979 Dissertation: Master Production Scheduling in the Assemble-to-Order Environment: A Comparison of Two Techniques
WASHINGTON UNIVERSITY IN ST. LOUIS MASTER OF SCIENCE 1972 Applied Mathematics and Computer Science major
Program interrupted by active military service. No degree earned. Coursework completed. Thesis incomplete
UNIVERSITY OF MISSOURI – ST. LOUIS BACHELOR OF ARTS 1968 Mathematics major
RELEVANT PUBLISHED RESEARCH
• 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., (2019), Analysis of churn in mobile telecommunications: predicting the timing of customer churn, AIMS International Journal of Management, 13(1), January 2019, pp. 1-15.
• King, B. E., Rice, J. L., & Vaughan, J. (2018). Using machine learning to predict average attendance at National Hockey League games, The Journal of Prediction Markets, 2018 Vol 12 No 2 pp 85-98.
• 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.