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

Juliet Hougland
Data Scientist, Cloudera

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.

Sessions

9:00am–12:30pm Tuesday, 09/29/2015
Data Science & Advanced Analytics
Location: 3D 03/10 Level: Advanced
srowen om (Cloudera), Juliet Hougland (Cloudera), Sandy Ryza (Clover Health)
Average rating: **...
(2.96, 24 ratings)
In this tutorial, attendees will get a taste of how large-scale data science techniques and technologies developed for the consumer internet can be applied in the world of finance. We will guide an exploration of the relationship between the traffic on Wikipedia pages to the movement of stock prices. Read more.
2:55pm–3:35pm Wednesday, 09/30/2015
Office Hours
Location: Table B (O'Reilly Booth)
Juliet Hougland (Cloudera)