John Schuman
About John Schuman
John Schuman is a Machine Learning Engineer at Arista Networks with a strong background in statistics and machine learning, and diverse interests in activities such as baseball, chess, and Scrabble.
Title
John Schuman is a Machine Learning Engineer currently employed at Arista Networks in San Francisco, California, United States since 2021.
Work Experience at Arista Networks
John Schuman started his role at Arista Networks as a Software Engineer in 2020 and worked there for one year before transitioning to his current position as a Machine Learning Engineer. Prior to becoming a full-time engineer, he interned at Arista Networks as a Software Engineer Intern for 3 months in 2019.
Teaching and Research Roles
John Schuman has held multiple academic roles at Carnegie Mellon University. He served as a Teaching Assistant in 2019 for 3 months and as a Research Assistant in 2018 for 4 months. These roles were based in the Greater Pittsburgh Area. This experience gave him opportunities to delve into both teaching and research within the fields he studied.
Educational Background
John Schuman has a BS in Statistics and Machine Learning with an additional major in Logic & Computation and a minor in Computer Science from Carnegie Mellon University, achieved from 2016 to 2020. He also studied Mathematics and Statistics at Columbia University in 2017.
Skills and Expertise
John Schuman is proficient in several programming languages including Python, GoLang, C, R, Java, C++, and SML. His expertise lies in building machine learning models and pipelines, analyzing datasets, and solving complex problems with analytical solutions. He also has a strong background in applied statistics and decision theory.