Arshad Khan

Adjunct Professor

Arshad Khan is an experienced analytics professional who has over 35 years of experience, including 17 years as a consultant in engineering, SAP and business intelligence. He retired in 2023 and currently teaches AI, BI, and analytics courses.

Mr. Khan has led numerous BI/Analytics projects, including a machine learning project as program manager. He led Tableau development at Juniper Networks, initiated the analytics program at ABB Digital, and was the BI Architect for the Navy.

Mr. Khan has also worked for well-known Silicon Valley companies including Hitachi-America, Acuson, and LSI Logic. He has also consulted for Deloitte Consulting, PwC, Accenture, Chevron, Genentech, DaimlerChrysler, Polycom, PepsiCo, Home Depot as well as many other clients.

For over 20 years, Mr. Khan has been an adjunct instructor at Golden Gate University, UC Extensions (San Diego, Berkeley, and Santa Cruz), and Santa Clara University. Mr. Khan has authored 20 books, including 6 on business intelligence, Tableau 2023, as well as Artificial Intelligence: A Guide for Everyone.