Stefanie Molin wrote the technical book “Hands-On Data Analysis with Pandas”. Her work shows readers how to analyze data and get started with machine learning in Python using the powerful pandas library. She’s a software engineer and data scientist, and a member of the Security Data Science team at Bloomberg that researches and develops solutions using data and machine learning to help improve and automate Bloomberg’s information security processes. In her job, Stefanie focuses on identifying and answering security-related questions using data and developing software to solve them. She holds a bachelor’s degree in Operations Research from Columbia University’s Fu Foundation School of Engineering and Applied Science (CUSEAS), with minors in Economics, and Entrepreneurship, and Innovation.