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Juliet Hougland

Juliet Hougland
Head of Data Science, Engineering, Cloudera

@j_houg

Juliet Hougland answers complex business problems using statistics to tame multiterabyte datasets. She succeeds in applying and explaining the results of mathematical models across a variety of industries including software, industrial energy, retail, and consumer packaged goods. Juliet is currently the head of data science, engineering at Cloudera, where she focuses on using data to help engineering build high-quality products. 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 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

Data Science Beekman Parlor - Sutton North
Jonathan Natkins (WibiData), Juliet Hougland (Cloudera)
Average rating: ****.
(4.20, 10 ratings)
Consumer expectations have dramatically increased and retailers must present relevant content to maintain a competitive advantage. This presentation will demo an e-commerce application with real-time, personalized recommendations and discuss combining open-source system architecture, based on HBase and Kiji, with good predictive model design to build a scalable, real-time recommendation system. Read more.

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