I'm a recent graduate from Syracuse University with a degree in Applied Data Analytics and a minor in Sports Analytics. My expertise is in Python, which I use daily for data cleaning, visualization, and building machine learning models, though I also have experience with R and SQL. I've worked on projects ranging from creating an esports analytics dashboard that parses raw game files into heatmaps and performance stats to building a wildfire risk prediction model with over 200 GB of environmental data. I also collaborated on a Premier League performance modeling project, where I built predictive models and dashboards to analyze player metrics, learning how to bridge workflows across Python and R.

Beyond technical skills, I enjoy making data accessible. As Head Analyst for Syracuse Esports, I translated complex analyses into clear, actionable insights for coaches and players. I also supported a Python course with 200+ students, helping create an AI-powered coding assistant to make programming concepts easier to understand. My passion is turning raw data into meaningful insights and practical solutions, and I'm excited to bring that mix of technical depth and clear communication to every project I take on.