Juliet Hougland answers complex business problems using statistics to tame multi-terabyte datasets. Juliet's been sought after by Cloudera’s customers as a field-facing data scientist advising on which tools to use, teaching how to use them, recommending the best approach to bring together the right data to answer the business problem at hand and building production machine learning models. For many years Juliet has been a contributor in the open source community working on projects such as Apache Spark, Scalding, and Kiji. Juliet is the Head of Data Science for Engineering at Cloudera.
Website: https://www.linkedin.com/in/jhlch