Erin Knochenhauer
About Erin Knochenhauer
Erin Knochenhauer is a Machine Learning Engineer based in Chicago, Illinois, with a Master of Science in Consumer Analytics from the University of Leeds. She has held various roles in data science, including Lead Data Scientist at Mintel and Senior Data Scientist at Silent Eight, and has received recognition for her contributions to the field.
Work at Tegus
Erin Knochenhauer currently holds the position of Machine Learning Engineer at Tegus, where she has been employed since 2023. Her role is based in Chicago, Illinois, and follows a hybrid work model. In this position, she applies her expertise in machine learning to contribute to the company's data-driven initiatives.
Education and Expertise
Erin Knochenhauer earned a Master of Science (M.Sc.) in Consumer Analytics from the University of Leeds, studying from 2016 to 2017. Prior to that, she completed a Bachelor of Science (B.S.) in Economics and French Language Arts at Grand Valley State University from 2011 to 2015. Additionally, she participated in a study abroad program at Université Catholique de l'Ouest in Angers, France, from 2012 to 2013.
Background
Erin Knochenhauer has a diverse professional background in data science and analytics. She began her career as a Research Associate at ConstructConnect™ from 2015 to 2016. She then worked at Nielsen in various roles, including Data Scientist and Lead Data Scientist, from 2017 to 2020. Erin also held positions at Mintel, where she served as Lead Data Scientist and Data Scientist from 2020 to 2022, and at Shop Direct as a Data Scientist in 2017.
Achievements
During her tenure at Mintel, Erin Knochenhauer received the 2022 Q4 MVP award, recognizing her contributions to the team. She also led a team during the Mintel Hackathon in 2020 and participated as a developer in the Nielsen Hackathon in 2019. Additionally, she delivered talks in the Nielsen Machine Learning / Intro to Python series, showcasing her expertise in the field.
Professional Involvement
Erin Knochenhauer has been actively involved in the data science community. She served as a committee member for the Leeds Data Science Society, contributing to the promotion and development of data science initiatives. Her earlier experience includes working as a Study Abroad Peer Advisor and a Research Assistant in the Economics Department at Grand Valley State University.