Jae Kyeong Lee
About Jae Kyeong Lee
Jae Kyeong Lee is a Data Scientist currently working at Fluz in New York, with a background in data analysis and research from various institutions including Columbia University and Kakao Corp.
Current Role at Fluz
Jae Kyeong Lee currently works as a Data Scientist at Fluz in New York. In this role, Lee developed predictive models to enhance user engagement and contributed to the implementation of machine learning algorithms for fraud detection. Lee's work at Fluz focuses on leveraging data analytics to improve platform efficiency and user experiences.
Previous Experience at Fluz
In 2021, Jae Kyeong Lee worked at Fluz as a Data Scientist for a duration of three months. During this tenure, Lee gained experience in applying data science techniques to real-world problems, which provided a foundation for their current role at the same company.
Background at Sport Inference
Jae Kyeong Lee served as a Data Analyst at Sport Inference from 2020 to 2021 for six months. In this capacity, Lee focused on analyzing sports data, contributing to various projects aimed at improving the understanding and implementation of sports analytics within the organization.
Research Assistant at Columbia University Mailman School of Public Health
From 2020 to 2021, Jae Kyeong Lee worked as a Research Assistant at the Columbia University Mailman School of Public Health. During this period, Lee published a paper on statistical methods for public health data analysis. This role involved analyzing extensive datasets to derive meaningful insights that could influence public health policies.
Education and Academic Background
Jae Kyeong Lee achieved a Master's degree in Statistics from Columbia University in the City of New York, studying from 2019 to 2020. Prior to that, Lee earned a Bachelor's degree in Statistics from 고려대학교, where they studied from 2013 to 2019. Lee's academic background provided a solid foundation in statistical theory and practical data science applications.
Volunteer and Mentorship Activities
Apart from professional roles, Jae Kyeong Lee actively volunteers as a mentor for aspiring data scientists through a local New York City tech community program. This involvement illustrates Lee's commitment to giving back to the community and supporting the growth and development of future professionals in the field of data science.