About Me

Currently employed as a Lead Analytics Engineer at EverQuote, based in San Francisco. Graduated from Northeastern University in 2022. Passionate about transforming chaotic data into accessible, actionable insights. Expertise working with big data, building reporting, internal tool development, applying predictive models and managing cross-functional stakeholders.

MLB Moneyline Edge Finder

Uses team run differential data and the dollar value of a single run to construct a moneyline, which is then compared against the live moneyline offered by DraftKings to find underdogs with good value.

COVID - 19 ETL Framework

Built a tool using Python and Spark enabling everyday users to conduct basic analysis on COVID testing data from The COVID Tracking Project and The New York Times through the input of easily customizable YAML files.

MLB Statistical Analysis

Created multiple models using R which consumed stadium dimensions and AWS Statcast data to predict the average homerun distance of each player over a full season, and classify each stadium as hitter or pitcher friendly.

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