Elizabeth Khan

Elizabeth is a Principal Machine Learning Engineer focused on delivering business value by enabling machine learning use cases through optimized ML pipelines, model development, and strategic guidance on tooling and best practices for deployment. She brings over seven years of experience in advanced analytics, data science, data engineering, reporting, and data visualization across industries including aerospace, healthcare, federal, entertainment, logistics, and manufacturing.

Previously, Elizabeth served as a Technical Lead in Machine Learning at Lovelytics, where she played a key role in optimizing ML processes for clients within the Databricks ecosystem. Prior to that, she contributed to client success at Accenture by developing prototype analytics products, building robust data pipelines, designing insightful Tableau dashboards, and creating customized machine learning models.

In her free time, Elizabeth enjoys exploring Richmond, VA’s vibrant music and art scene, hiking in the outdoors, and traveling to gain new perspectives.