I'm a recent graduate of the MS in Computational Analysis and Public Policy (MSCAPP) program at the University of Chicago. I am transitioning into data-focused software engineering roles after several years of policy experience in Washington, D.C., including as a paralegal, in issue-advocacy public relations, in digital campaign fundraising, and as an on-staff researcher, both for an elected official and for a small policy think tank. I'm also a game show champion.

I recently completed an internship with the Data department at the Cook County Assessor's Office.

I am seeking a full-time career opportunity with a technical focus, ideally in the public, civic, and/or social good sectors.

Projects I've worked on include:

• Plan-My-Transit ("Route Rangers"): Capstone project for "Software Engineering for Civic Tech"; takes in user information about frequent commutes, and shows the most in-demand gaps in existing public transit coverage to transit planners. Written in Django, with Postgres (PostGIS) backend; front-end visualizations powered by Leaflet.
• Analyzing Complaints Against A City Police Department with Natural Language Processing (NLP): obtained a corpus of 2,148 PDF reports from a city's Civilian Office of Police Accountability, then performed topic modeling, named entity recognition (NER), and summarization tasks with state-of-the-art NLP models.
• Redistricting Redux: quarter-long project with a focus on software design, data ingestion via API, and data visualization. Written in Python (including geopandas and scikit-learn).
• Understanding Public Perceptions of the Affordable Care Act ("Obamacare"): quarter-long machine learning project with a focus on natural language processing (NLP), sentiment analysis, hyperparameter tuning, model design, evaluation metrics, and generalization.