Junsu Kim
About Junsu Kim
Junsu Kim is a Data Scientist based in Austin, Texas, with a Master's degree in Business Analytics from The University of Texas at Austin. He has experience in deep learning and has worked at Sustainment and Dell Technologies, as well as serving in the Republic of Korea Army.
Work at Sustainment
Junsu Kim currently serves as a Data Scientist at Sustainment, a position he has held since 2024. In this role, he applies his expertise in data analysis and deep learning to contribute to various projects. Prior to this position, he worked as an Associate Data Scientist at Sustainment from 2022 to 2024, where he developed his skills in data science and analytics. His experience at Sustainment highlights his commitment to advancing data-driven solutions within the organization.
Education and Expertise
Junsu Kim earned a Master of Science in Business Analytics from The University of Texas at Austin, completing his studies from 2021 to 2022. He also holds a Bachelor of Business Administration from Kyung Hee University, where he studied from 2013 to 2019. His educational background provides him with a strong foundation in business and analytics, which he applies in his current role as a Data Scientist.
Background
Before entering the field of data science, Junsu Kim served in the Republic of Korea Army as a Communications Sergeant from 2014 to 2016. This experience contributed to his leadership and teamwork skills. Following his military service, he transitioned into the tech industry, working at Dell Technologies as a Data Scientist for a capstone project from 2021 to 2022.
Personal Projects in Deep Learning
Junsu Kim has engaged in personal projects that focus on deep learning, showcasing his skills in various advanced techniques such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformers, and Generative Adversarial Networks (GANs). These projects are available on his GitHub profile, reflecting his strong foundation in deep learning frameworks and his commitment to continuous learning in the field.