- Managed an intern on a successful project to create an interactive heat map showing holes in our vendor network, with Google Maps integration to help find new vendors.- Mentored two junior analysts on SQL, Python, and planning analytics projects.- Helped to mature departmental processes around project management, documentation, and deliverables.

-Used SQL, Python, and Excel to analyze operational and environmental trends and their financial impacts on claims.-Successfully led an effort to automate the creation of actuarial triangles in Python and organized a weekly meeting to teach other analysts in the Claims Department.-Led initiatives for the adoption of git, PEP 8, and AWS.

-Worked with the Counterproliferation Cell to develop a model to detect suppliers of nuclear and dual-use goods.-Delivered code base, corporate profiles aggregated from trade and registry data, predictions, and a paper detailing the process and results (not yet available for public dissemination).-Worked in an AWS environment using EMR, SageMaker, and S3.

C4ADS Russian Nuclear SuppliersSep 2019 – Oct 2019-Lambda Labs project in partnership with the Center for Advanced Defense Studies, a non-profit that provides data-driven analysis of transnational security issues.-Used a Spark cluster on AWS EMR to aggregate Russian corporate registry data and three years of Russian trade data into corporate profiles, which could be used to detect companies with similar profiles to known Russian nuclear suppliers.Simpsons SaysAug 2019-Created a search engine for lines of Simpsons dialogue with a sickit-learn KNearestNeighbors model trained on vectors of dialogue from 27 seasons.-Deployed the search functionality as a Flask API on an AWS EC2.-Worked together with a cross-functional web team.Movie MoneyMay 2019-Created a model for a Kaggle competition to predict worldwide revenue for 4398 movies.-Serialized the model and deployed it to Heroku as a Plotly Dash application.

-Instructed review sections, graded exams, and held office hours-Courses: Probability, Data and Decision Making; Introduction to Philosophy; Philosophical Problems in the Arts