This past year I have collaborated with industry partners on two research projects as well as assisted in teaching undergraduate courses. In one project, we structure text-based documents using Tesseract OCR and natural language processing and use those features in machine learning classifiers. In the other project I am developing a framework for generating features from transaction data. This is done using representation learning models as well as ensembles of deep recurrent networks. In my thesis I apply this framework to healthcare insurance claims data in order to predict opioid overdoses. I also assist teaching undergraduate data analytics and introductory statistics classes by instructing labs, proctoring exams, and giving out-of-class feedback.

Interned on the Sam's Club adviser team where we worked closely with our buyer to grow category sales by delivering data-driven insights. I also automated the parts of the club-specific assortment selection and modular layout drawing processes using the JDA Space Planning API.

As an intern on the Dedicated Contract Services Optimization Team I developed applications utilizing routing heuristics in C# and trained account managers on how to use the software. As a side project, spurred by requests for creating ad hoc visualizations, I built and deployed a customer facing application using GIS data to drive sales of dedicated fleets, a $1.5B business.

Interned on the Walmart front-end adviser team where I was responsible for automating reports, delivering ad hoc insights, and maintaining a product database. As a pet project, I automated a task taking up the majority of a team member's time, freeing them up to work on other projects and saving them company over $50,000 per year.