Mash Zahid

Mash Zahid is a management consultant who codes artificial intelligence systems that leverage sophisticated predictive, algorithmic methods to lead omni-channel growth in competitive markets. Mash has had successful strategy and Data Science engagements in recent years at Amgen, Subaru, Johnson & Johnson, Blue Cross Blue Shield, and hedge funds, among many others. He has also served as the Associate Partner leading the Machine Learning Practice for a Microsoft service provider, focused on architecting predictive capabilities across hybrid cloud platforms.

In the last decade, Mash served as senior strategy manager at The Home Depot, where his data-driven approach for improving retail operations and People strategy was detailed in a Harvard Business Review cover story. He holds a Master of Business Administration in Analytic Finance and Accounting (with PhD coursework in Behavioral Finance) from The University of Chicago Booth School of Business. He holds a BA from the College of Wooster.


Applying rigorous machine learning methods in business strategy

Wednesday 2:15 PM–4:00 PM in Tutorial Room

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