Hojin Lee

Hojin Lee has extensive work experience, beginning with their role as an Army Sergeant in the Republic of Korea Army from 2012. Hojin then worked as a Data Analyst at UPS from 2014-2015, where they led a Backfill Optimization project and reconstructed a part of the data gathering process. In 2015, they worked as a Senior Design Team Member at Manheim and as an Undergraduate Researcher at Georgia Institute of Technology, analyzing patterns of crime around the campus and across the greater Atlanta Area. In 2020, they worked as a Graduate Student Researcher at Columbia University in the City of New York and as a Quantitative Analyst at TD. Most recently, they worked as a Sr. Business Analyst at Happy Money from 2021-2022 and is currently employed as a Machine Learning Engineer at Roadie.

Hojin Lee holds a Master of Science in Data Science from Columbia University, a CFA Level 3 qualification from the CFA Institute, and a Bachelor's degree in Industrial and Systems Engineering from the Georgia Institute of Technology. Hojin has also obtained certifications in R Programming from Coursera in March 2016 and An Introduction to Interactive Programming in Python (Part 1) from Coursera in October 2015.