About Me

I have a passion for tackling challenging problems and driving data-driven decision making. This passion has been fostered by my experiences at Amazon, Epic, and the University of Michigan.

Currently an MBA candidate at Carnegie Mellon’s Tepper School of Business (Class of 2027), I am building on my expertise in analytics and exploring how AI, strategy, and sustainability can be leveraged to create impact at the intersection of technology and business.

Most recently, as a Business Intelligence Engineer for the NAST Analytics & Science team at Amazon Operations, I supported cross-functional products and provided insights to drive improvements across the Amazon middle mile network.