I'm currently pursuing my Master's in Applied Data Science at the University of Chicago, where I've been diving deep into machine learning, Bayesian methods, time series analysis, and big data systems. My technical toolkit centers on Python, SQL, and R, and I genuinely enjoy the work of building things end-to-end: from wrangling messy data and writing ETL pipelines to deploying predictive models and building dashboards that people actually use. I'm drawn to applied problems in sports analytics, operational efficiency, and finance, where good data work has a visible impact on real decisions. Most of what I've learned has come from doing: three internships at Hutchinson Aerospace, a hackathon win, and coursework that keeps pushing me to think more rigorously. I'm looking for full-time roles in data science or applied ML starting August 2026, and I'm open to connecting with data science professionals and alumni working in ML or AI.