Nathan Lee

Data Election Assistant

Nathan’s affinity for politics was born through his fervent dedication to the groundbreaking show “The West Wing”, where he aspires to be like the character Josh Lyman.

He specializes in political data analysis incorporating expertise in supervised/unsupervised machine learning, regression analysis, and data visualization. Prior to his time at GSG, Nathan spent his undergrad at special interest groups, think tanks, and strategic communications firms. After which he decided to enhance his expertise and enroll in General Assembly’s Data Science Immersive Program. There he learned how to code, build statistical models, and gain insights from big data. Though, this did not help him win his fantasy football league this year.

He received his B.A. from American University where he graduated with an interdisciplinary degree in public affairs. Nathan is new to New York and enjoys exploring and seeing what the city has to offer.