Sana B. is an experienced data science professional with a strong background in data management, analytics, and machine learning. Recent work at Seagate Technology involved building a MySQL server database for the Legal team's Data Governance group and creating an automated Python ETL pipeline for Tableau. Prior experience at Meta included being a Data Challenge Finalist, where an analytics-driven capstone project utilized SQL and Python for predictive modeling with a dataset of over 8,000 Netflix titles, as well as working as a Security Engineer focused on real-time data pipelines and applying machine learning for detecting harmful patterns. As a Data Science Intern at UC Davis Facilities Management, Sana utilized machine learning methods to improve energy management across campus buildings. Academic credentials include a Master of Science in Cybersecurity from Georgia Institute of Technology and a Bachelor of Science in Statistics and Data Science from the University of California, Davis.