Juliet Hougland
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Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Data Scientist at Cloudera
Secteur d’activité
Technology / Software / Internet
À propos
Juliet 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 & 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.
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Mots-clés
real-time model scoring recommender systems machine learning
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Real-time Recommendations for Retail: Architecture, Algorithms, and Design

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Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Data Scientist at Cloudera
Secteur d’activité
Technology / Software / Internet
À propos
Juliet 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 & 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.
Mots-clés
real-time model scoring recommender systems machine learning
Tout plus