I’m a recent Master’s graduate in Data Science with a background spanning statistics and machine learning research, math tutoring, and music instruction. That mix of analytical and creative experience shapes how I work — blending rigorous, data-driven thinking with curiosity and experimentation.
I’m currently continuing to build my skills, filling in my gaps in my data science knowledge through self-education and personal projects like my music recommender system. I’ll be exploring topics like model deployment, API querying and hosting, visualization, dashboarding, front-end development, and web scraping. Stay tuned for more!