Mash Zahid

Mash Zahid is a data science and machine learning expert who works across industries to improve business outcomes in inventory optimization, product development, trading and valuation, and more. After beginning his career at Arthur Andersen, he worked at J.P. Morgan Chase and The Home Depot, where his data-driven approach for improving retail operations and people strategies was detailed in Harvard Business Review. He's helped BTG clients improve patient adherence and support clinical decisions.

  • How to Build a Scalable Data Science Strategy

    How to Build a Scalable Data Science Strategy

    It’s been several years since the term “big data” crossed over into the mainstream business world—and executives realized they could make smarter decisions by harnessing the reams of information...

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