After completing my B.S. in Mathematics at the University of Texas at San Antonio, I began work as a consultant producing predictive pricing models for insurance companies. Around this time, the Netflix Prize was announced, and it was there that I had my first foray into competitive modeling. I am currently studying for my M.S. in Computer Science at Georgia Tech while working full time in a Data Science capacity. My interests are broad, but my primary focus is on designing and implementing production quality machine learning models at scale.
TVSift is a web application for finding great TV shows to stream. The content is curated and the app showcases how this can be done with a MongoDB backend with a bootstrap layout. At the time of development, no other application existed with multi-select capability.