Dat Tran

Dat works as a Senior Data Scientist at Pivotal. His focus is helping clients understand their data and how it can be used to add value. To do so, he employs a wide range of machine learning algorithms, statistics, and open source tools to help solve his clients’ problems. He is a regular speaker and has presented at PyData and Cloud Foundry Summit. His background is in operations research and econometrics. Dat received his MSc in economics from Humboldt University of Berlin.

  • Why the AI Hype Train is Already off the Rails and Why I’m Over AI Already

    Why the AI Hype Train is Already off the Rails and Why I’m Over AI Already

    One data scientist on the hype around artificial intelligence.A soccer match at RoboCup 2017 in Nagoya, Japan.When I started my data science career at Accenture in 2013, everyone in the...

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  • 8 “Simple” Guidelines For Data Projects

    8 “Simple” Guidelines For Data Projects

    Advice for building impactful data productsCountless data posts out there will tell you to do things like “harness the cloud” or “run experiments.” The vagueness of these posts is not helpful. You...

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  • Operationalizing PySpark Data Science Models on Pivotal Cloud Foundry

    Operationalizing PySpark Data Science Models on Pivotal Cloud Foundry

    In this post, Pivotal's Andreas Fleig and Dat Tran illustrate how to deploy and operationalize an Apache Spark-trained machine learning model in an application running on Pivotal Cloud Foundry.

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  • How Automakers And The Internet Of Things Are Colliding To Save Lives

    How Automakers And The Internet Of Things Are Colliding To Save Lives

    This article demonstrates how the Pivotal Data Science team helped a major German car manufacturer build a scalable Internet-of-things (IoT) platform with the help of Pivotal Cloud Foundry (PCF)....

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