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Work experience:
Prior to Columbia, I worked as a Data Scientist at McKinsey. I worked on digital solutions across electronic manufacturing firms, financial institutes, and cloud service providers.
I implemented ML tools to identify components at risk of shortage, utilized simulations to determine optimal inventory levels thereby averting excess or shortages, and assessed the most efficient routing options. In the finance industry, I worked on building modularized tools such
as Know-Your-Customer analysis, recommendation systems, and lifetime value calculation, among others. Prior to McKinsey, I worked as a Research Professional (Pre-doc) at Chicago Booth School of Business.
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