Chris Rawles

Chris Rawles is a senior data scientist at Pivotal in New York, New York, where he works with customers across a variety of domains, building models to derive insight and business value from their data. He holds an MS and BA in geophysics from UW-Madison and UC Berkeley, respectively. During his time as a researcher, Chris focused his efforts on using machine-learning to enable research in seismology.

  • Automated Machine Learning: Deploying AutoML to the Cloud

    Automated Machine Learning: Deploying AutoML to the Cloud

    This may be the year that AutoML enters the data science vernacular. I share an AutoML setup to train and deploy pipelines in the cloud using Python, Flask, and two AutoML frameworks

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  • How Curry Ball Will Impact March Madness Brackets

    How Curry Ball Will Impact March Madness Brackets

    402.It was April 13, 2016: the third time Stephen Curry had set the record for 3-pointers made in a single season, in just four years. He and his teammates on the Golden State Warriors were...

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  • Data Science How-To: Using Apache Spark for Sports Analytics

    Data Science How-To: Using Apache Spark for Sports Analytics

    In this post, Chris Rawles gives a hands-on tutorial for getting started with the recently released Spark 2.1 using data from the National Basketball Association (NBA).

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  • How To: Scaling a Machine Learning Model Using Pivotal Cloud Foundry

    How To: Scaling a Machine Learning Model Using Pivotal Cloud Foundry

    Using a Twitter example, Pivotal data scientist, Chris Rawles shares how to build a machine learning app on Pivotal Cloud Foundry that scales to nearly 15 times the average total number of tweets...

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  • Data Science How-To: Text Analytics-as-a-Service

    Data Science How-To: Text Analytics-as-a-Service

    Pivotal Data Scientist Chris Rawles shares a useful example of how to operationalize a text analytics model and deploy it as a scalable, autonomous microservice on Cloud Foundry. This example...

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  • Scoring-as-a-Service To Operationalize Algorithms For Real-time

    Scoring-as-a-Service To Operationalize Algorithms For Real-time

    In this post, two of Pivotal’s top data scientists share the ultimate formula for data science—operationalizing algorithms for real-time scenarios. By making operational processes smarter using...

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