Elizabeth Khan

Elizabeth Khan is a Principal Machine Learning Engineer, focusing on driving business value by enabling ML use cases through the optimization of ML pipelines, ML development, and advising data teams on tooling and best practices for ML pipelines and deployment. She has over 7 years of experience in advanced analytics, data science, data engineering, reporting, and data visualization across the Aerospace, Healthcare, Federal, Entertainment, Logistics, and Manufacturing industries.

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

In her free time, Elizabeth finds joy in exploring the local music and art scene of Richmond, VA (RVA), engaging in outdoor activities like hiking, and embracing travel experiences that enrich her perspectives.