Rachel Wagner-Kaiser
Rachel Wagner-Kaiser, Ph.D., is a director and data scientist at KPMG. She has 15 years of experience in data and AI, and specializes in building AI and natural language processing solutions for real-world problems constrained by limited or messy data. Rachel works across industries to lead KPMG’s technical teams to design, build, deploy, and maintain NLP solutions. Her expertise has helped companies organize and decode their unstructured data to solve a variety of business problems and drive value through automation. She is also author of the upcoming book “Teaching Computers to Read”.
Session
Looking to contribute to open source, but wasn’t sure where to start? Want to level up your skills in debugging, programming, collaboration and more? Curious about how to fix a bug or add a feature you’re missing in your favorite software project? Come to our special newcomer sprint to learn how and try it for yourself! Newcomers to Python or open source are welcome and encouraged, as well as attendees with open source experience to help guide them!