Sujin Lee is an accomplished computer science student at The Johns Hopkins University, pursuing a Bachelor of Science with a focus on Applied Mathematics and Statistics. With a strong academic foundation reflected in a 4.00 GPA, Sujin has gained diverse experience through various roles, including a Student Volunteer at Action for Boston Community Development, Inc., and an Algorithm Developer for JHU Delineo Disease Modeling, contributing to COVID-19 modeling projects. As a Tech Program Intern at Akuna Capital and a Software Engineer Intern at Meta, Sujin has further honed technical skills in a compliance team and AI knowledge integration. Additional experiences include organization and leadership roles at HopHacks, and participation in the first-year trading program at Jane Street, developing trading models in Python. A software engineer intern at Samsung SDI, Sujin improved battery capacity prediction models, enhancing their accuracy through advanced feature engineering techniques.
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