Randy Bulriss
Instructor
Biography
I had a 30-year career with Intel Corporation. My work history spans business management, engineering, manufacturing, marketing, operations management, and project management. I also have 33 years of experience as an adjunct faculty member at the Mesa Community College Business Department. I joined GCU in 2016 to lead the Master of Science in Business Analytics program. I completed my Ph.D. in Business Administration with an emphasis on Project Management. I also have an MSE at Arizona State University in Industrial Engineering with a concentration in Quality Control & Reliability. I am a Project Management Professional (PMP) and was certified in supply chain management principles by APICS (CPIM).
Education
  • Doctor of Philosophy in Business Administration: Project Management
Programs Taught
  • Bachelor of Arts in Game Design
  • Bridge (Doctor of Business Administration with an Emphasis in Data Analytics)
  • Bridge (Doctor of Business Administration: Data Analytics Qualitative Research)
  • Bridge (Doctor of Business Administration: Data Analytics Quantitative Research)
  • Bridge (Doctor of Business Administration: Innovation and Corporate Entrepreneurship Qualitative Research)
Classes
  • BIT-200: Introduction to Computer Technology
  • BIT-301: Fundamentals in Business Analytics
  • BIT-415: IT Project Management
  • BUS-352: Business Statistics
  • BUS-660: Quantitative Methods
Research Interests
  • Advancing the body of knowledge in global and non-profit business and providing a challenging academic experience from lived experiences. Focus areas include Data Analytics and Project Management.
Publications
  • Randy Bulriss. (2016). Overcoming Project Management Obstacles: The Impact of Volunteerism on Faith-Based Organizations..
  • Randy Bulriss. (2021). Transforming Traditional Online Business Statistics into a Virtual Classroom Experience.
  • Keith, M., & Bulriss, R.. (2024). Data analytics and machine learning: A practical overview in Tableau, Excel, Python, and Azure ML Studio (2nd ed.). ISBN-13: 9781959142.
  • Bulriss, R., & Keith, M.. (2024). Prescriptive analytics: Python and Excel approaches (1st ed.)..
Licenses / Certificates
  • Certified as a Project Management Professional (PMP)
  • Certified in Production and Inventory Management (CPIM)
Awards
  • Mentor Award - 2011
  • E. Virgil Conway College Scholar Award - 1980
  • Presidential Scholar - 1983
  • William Schweitzer Memorial Scholarship - 1983
  • Arthur R. Atwood Scholarship - 1980
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