About

Mitchell Briner is a highly skilled Machine Learning Engineer with over 4 years of relevant experience in the field. He is currently employed at Spotify as a Machine Learning Engineer II, where he is responsible for developing and implementing machine learning models to improve the user experience on the platform. Prior to joining Spotify, Mitchell worked as a Data Scientist, Machine Learning at Cameo, where he was responsible for developing and implementing machine learning models to improve the effectiveness of the company's marketing campaigns. He also worked as a Data Scientist at Fortive, where he developed predictive models to improve the accuracy of the company's inventory forecasting. Mitchell holds a Bachelor of Science in Business Administration and Management, as well as a Bachelor of Arts in English Language and Literature, both from The Ohio State University. He also holds a Master of Science in Analytics from the Georgia Institute of Technology. Mitchell's technical expertise includes ML, Data Scientist, and Research Scientist. He has a proven track record of developing and implementing machine learning models to solve complex business problems. He is a quick learner, with excellent problem-solving skills, and is always looking for ways to improve his skills and knowledge. In summary, Mitchell Briner is a highly skilled Machine Learning Engineer with a strong background in data science and analytics. He is a valuable asset to any organization looking to leverage machine learning to improve their business processes and drive growth.