Stefanie Molin is a software engineer and data scientist on Bloomberg's Security Data Science team, which researches and develops solutions using data and machine learning to help improve and automate Bloomberg’s information security processes. She focuses on identifying and answering security-related questions using data and developing software to address them. She holds a bachelor’s of science degree in operations research from Columbia University, and is currently pursuing a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. She is the author of “Hands-On Data Analysis with Pandas,” now in its second edition.
