Juliet is a Data Scientist at Cloudera, where she does data science for the Engineering organization. Previously at Cloudera she built distributed machine learning pipelines for customers, advised customers on best practices for data science with big data, and developed and contribted to open source software such as SparklingPandas, Spark and Kiji. Her commercial applications of data science include developing predictive maintenance models for oil & gas pipelines at Deep Signal, and designing/building a platform for real-time model application, data storage, and model building at WibiData. Juliet was the technical editor for Learning Spark by Karau et al. and Advanced Analytics with Spark by Ryza et al.
She holds an MS in Applied Mathematics from University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in Math-Physics.