About Me

I’m a Data Science graduate student at Vanderbilt University with a background in Mechanical Engineering. I’m passionate about solving real-world problems through data, especially when it means creating tools that help people make better decisions.

I’ve led projects that range from building predictive models for B2B sales to analyzing global economic patterns and improving supply chain packaging for a major automotive client. I enjoy working through complexity, whether it's cleaning a massive dataset, designing a machine learning pipeline, or creating dashboards that make insights easy to act on.

Right now, I'm most excited about scalable data systems, applied machine learning, and the power of thoughtful data storytelling. Outside of work, you’ll probably find me exploring new AI tools, diving into story-driven games, or listening to music that sparks ideas.