Background & experience
Enterprise software experience. A growing body of data science research.
Education
M.S. in Data Science — University of Colorado Boulder In progress
Professional background
Several years of experience working with enterprise software and solving complex technical problems, followed by a transition into data science.
Selected project experience
Climate risk & housing
An end-to-end public-data pipeline using Python and DuckDB, with county-level housing histories, disaster event windows, documented methodology, and an interactive D3 story.
U.S. migration
Acquisition, cleaning, and exploratory analysis of IRS, ACS, FEMA, and NOAA data, supported by provenance records, executed notebooks, and an interactive research website.
Neural recommender systems
Independent study comparing six neural model families, three hyperparameter-search methods, and four optimizer families. Includes repeated-seed GPU experiments and an unpublished draft manuscript.
Tools in this work
Python · SQL / DuckDB · PyTorch · Jupyter · D3 · Git / GitHub · Quarto