Kim Egbert

Kim Egbert is a Machine Learning Architect at Lovelytics, with a robust background in machine learning and data engineering. Prior experience includes positions as Lead Machine Learning Engineer, Senior Machine Learning Engineer, and Data Engineer at Nousot, Inc., where significant contributions were made in developing machine learning pipelines and transforming data for recommendations. Previous roles at Built In involved building foundational machine learning systems that generate over 17 million daily recommendations, alongside implementing complex data transformations. Freelance experience as Lead Data Developer included standardizing and cleaning extensive datasets and enhancing data access for customer-related analytics. Kim holds a Master's degree in Irish Literature from Boston College and a Bachelor's degree in English from Brigham Young University.