Machine Learning

A collection of projects, particularly those utilizing machine learning and data science. See also my Github Profile and resume.

Current Projects

• SanctionsExplorer is a continuously updated, web-scraping database and search service providing information pertaining to internationally sanctioned individuals and their known co-conspirators, information spread across hundreds of goverment databases and unstructured reports from dozens of authorizing sources like the United States, US Treasury, UN, and European Union. Served in a technical consultant role for the national security think tank the Center for Advanced Defense Studies
• A mapping tool of my neighborhood’s informal network of shared security camera locations. The network was featured in the Baltimore Sun: “This Baltimore neighborhood has built an informal home camera network to fight crime. Police say it’s working.”

Learned Machines, Trained Models

• “Credit Scoring the Unbanked Population in Vietnam”: How do we gauge creditworthiness for new small-dollar loan applicants? I built a credit-scoring model for thin-credit history loan applicants using loan data from a bank in Vietnam (Note: dormant application; load time is a few seconds.)
• Pic-Metric (Github): Batch-user-image object detection and classification web application
• Spotify Song Recommender (Github): K-nearest neighbor model recommends thirty new Spotify songs given a user’s input of a single song based upon features such as tempo, acousticness, etc.