Juliet Hougland builds machine learning infrastructure at Stitch Fix. She is a data scientist and engineer with expertise in computational mathematics and years of hands-on machine learning and big data experience. She has built and deployed production ML models, advised Fortune 500 companies on infrastructure and worked on a variety of open source projects (Apache Spark, Scalding, and Kiji) at the intersection of big data and machine learning. Juliet loves sharing her knowledge of practical machine learning and is a regular worldwide keynote and invited speaker.