Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Office Hour with Juliet Hougland (Cloudera)

Juliet Hougland (Cloudera)
2:55pm–3:35pm Wednesday, 09/30/2015
Office Hours
Location: Table B (O'Reilly Booth)

Join Juliet if you have questions about:

  • Machine learning on Spark
  • Time series forecasting
  • Anomaly detection in time series
  • Featurizing high dimensional data, such as data from sensors or in time series
Photo of Juliet Hougland

Juliet Hougland


Juliet Hougland is a data scientist at Cloudera and contributor/committer/maintainer for the Sparkling Pandas project. Her commercial applications of data science include developing predictive maintenance models for oil and gas pipelines at Deep Signal and designing and 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 the University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in math-physics.