Rosemary Li

Rosemary Li [She/Her] is a graduate student in Applied Analytics at Columbia University, with a background in Finance, Computing & Data Science and Math from NYU Stern. Rosemary enjoys helping students turn technical and analytical concepts into practical solutions. She has experience with Python, Data Analysis, Machine Learning, Al, statistical modeling, and applying quantitative methods to real-world business and research problems.

Rosemary is most looking forward to helping tutees become more confident in approaching technical and analytical problems independently. She understands that students often know individual tools or concepts but may feel unsure about how to put them together into a complete solution. As a tutor, she hopes to help students break complex problems into manageable steps, strengthen their problem-solving skills, and connect what they learn in class to real-world applications.