From start to deployment, this presentation will cover topics that include statistical learning frameworks and machine learning methods.
About the speaker:
Mash Zahid is a management consultant who has led development of artificial intelligence systems that leverage state-of-the-art infrastructure and machine learning methods for financial services, healthcare/biotech and retail industries. Mash was a global strategy director for AI at KPMG, and also served as Associate Partner leading the Machine Learning Practice for a Microsoft services provider. Previously, he was a 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.
Mash has an MBA in Analytic Finance and Accounting, with PhD coursework in Behavioral Finance, from The University of Chicago Booth School of Business. He received a BA from the College of Wooster with his senior thesis on “Political Participation in Cyberspace.”