Hi, welcome to my website.

I’m Preston Monk, a Data Scientist with a Ph.D. in Economics. My work focuses on building rigorous, data-driven models and analytics systems that help organizations make better decisions under uncertainty. I specialize in statistical modeling, causal inference, and translating complex real-world data into clear, actionable insight.

I earned my Ph.D. in Economics from Florida State University, where my research examined how households value neighborhood amenities and respond to disruptions, including crime, neighborhood change, and shifts in mobility and transit demand during the COVID-19 era. That work required assembling large, messy datasets, designing credible identification strategies, and communicating results with precision. It sharpened transferable skills that apply across domains: disciplined hypothesis testing, careful measurement, robust validation, and a strong sense for confounding, bias, and the limits of inference.

In my professional work as a Data Scientist, I build end-to-end analytical solutions: developing data pipelines, engineering features, training predictive models, and creating reliable reporting and decision-support tools. I’m strongest in environments where the goal is not just analysis, but repeatable systems that stakeholders can trust, monitor, and use over time. I bring a research mindset grounded in economics and statistics, combined with practical engineering habits that make work scalable, maintainable, and impactful.