Background: B.A. Mathematics, University of Virginia, Charlottesville, VA, 2014; Senior Pricing Analyst, Elephant Insurance (Richmond, VA)

Why data science? A colleague of mine casually sent me an article on DeepMind's PySC2 environment, which they built with the help of Blizzard to tackle their next big project after their success with Go: Starcraft II. After considerable effort, I managed to get the environment set up on my local machine and run through some trivial examples on Github. After methodically deciphering DeepMind's initial white paper on reinforcement learning, I was pretty much hooked.

Many organizations lack the resources to leverage their current analytics capabilities, as well as develop new ones. As a dual-degree MBA candidate, I hope to offer businesses the skills needed to create actionable insight from their current data, while building their analytics infrastructure to improve the quality of data they collect.

Research and Career Interests: Machine learning, especially convolutional neural networks, deep learning, and reinforcement learning.

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