I am currently a technologist in the enforcement division at the Consumer Financial Protection Bureau (CFPB) working to hold companies accountable for unfair, deceptive, and abusive practices. I also teach a Python-based geospatial data science course in the Masters of Urban Spatial Analytics program at the University of Pennsylvania. Prior to the CFPB, I led a team in the Controller's Office working to produce data-driven, objective analysis of financial policy in the City of Philadelphia and improve transparency around the City's spending of taxpayer dollars. I am passionate about data visualization, predictive analytics, and effective communication of complex ideas to a broad audience. I am a former academic, with a Ph.D. in astrophysics, and have extensive experience developing creative solutions to complex problems. During my astrophysics studies, I led a team that measured a faint cosmological effect, first theorized in the 1970s, for the first time by combining two noisy data sets.