Michael Toben

Michael Toben is a Data Science Intern at E15 Group since June 2025, where significant contributions include launching an automation project for post-audit reporting, developing a serverless ETL pipeline using Python and AWS, and employing Snowflake Document AI for real-time anomaly detection across numerous business units. Previously, Michael interned at AGCO Corporation from June 2024 to May 2025, enhancing demand forecasting accuracy through advanced modeling techniques and creating predictive maintenance prototypes to analyze kiln sensor data. Earlier experience as a Data Entry Specialist at Yale School of Medicine involved automating data validation processes and ensuring compliance with HIPAA standards. Currently pursuing a Bachelor of Science in Statistics and Data Science at Yale University, Michael’s academic journey also includes studies at Sioux City North High School, The Johns Hopkins University, and Iowa State University.