About

Sun Mi Chung is a highly qualified Machine Learning Engineering Manager at Spotify with over 14 years of relevant experience. She holds a Ph.D. in astrophysics and has a strong background in astronomy, physics, statistics, and computer programming. She specializes in quantitative and statistical analyses of large datasets, making her an expert in data science. Sun Mi Chung has worked for various companies in the past, including AOL and Velos.io, where she held the positions of Principal Data Scientist and Data Scientist, respectively. Her expertise in machine learning has made her a valuable asset to these companies. She has worked on various projects, including developing algorithms for recommendation systems, natural language processing, and predictive analytics. Sun Mi Chung's education history is impressive. She holds a Ph.D. in Astronomy from the University of Florida and Wesleyan University. She also has a Master's degree in Astronomy from both universities and a Bachelor's degree in Astronomy and Physics from Wesleyan University. Her education and experience make her a highly qualified candidate for any data science or machine learning position. Sun Mi Chung's technical skills include ML, Senior Software Engineer, Data Scientist, and Research Scientist. She has a strong understanding of various programming languages, including Python, R, and Java. She is also proficient in SQL and has experience working with big data technologies such as Hadoop and Spark. In summary, Sun Mi Chung is a highly qualified Machine Learning Engineering Manager with a Ph.D. in astrophysics and over 14 years of relevant experience. She has a strong background in astronomy, physics, statistics, and computer programming. Her expertise in data science, machine learning, and programming languages make her a valuable asset to any company.