Paco Nathan is the Director of Data Science at Concurrent in SF and a committer on the Cascading open source project. He has expertise in Hadoop, R, AWS, machine learning, predictive analytics — with 25+ years in the tech industry overall. For the past 10+ years Paco has led innovative Data Science teams, building large-scale apps. He is the author of “Enterprise Data Workflows with Cascading”, an upcoming O’Reilly book.