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    Technology

    Data Science and Machine Learning in Oil and Gas

    This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistance was provided by Selena Garza.

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    Copyright: © Dr. R. A. Leo Elworth

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    Latest Episodes:
    Alex Bayeh, Data Science Technology Advancement Manager (Part 2) Dec 17, 2019
    Show notes

    In the second half, we ask Alex about his journey into data science and his recommendations for someone interested in adding data science to their career path.


    Alex Bayeh, Data Science Technology Advancement Manager (Part 1) Dec 17, 2019
    Show notes

    Alex Bayeh walks us through his current projects, highlighting a project called the Tops Propagation Tool. He shares with us how the project began, their approach, and what examining brain waves from a zebrafish has to do with Well Logs.


    Vincent LeMoine, Data Engineering Manager (Part 2) Dec 15, 2019
    Show notes

    After discussing the topic of data science and machine learning in part 1, we dig deeper into the oil and gas industry in part 2 of our interview. In part 2, Data Engineering Manager Vincent LeMoine gives his thoughts on how data science and machine learning can play a role in oil and gas specific problems, as well as some ideas on their place in the industry as a whole.


    Vincent LeMoine, Data Engineering Manager (Part 1) Dec 15, 2019
    Show notes

    Data Engineering Manager Vincent LeMoine gives a fantastic introduction to the high-level topics of data science, machine learning, and oil and gas. He shares with us his take on what data science is and what skill sets are required to work in this area. After discussing the topic of data science and machine learning, we dig deeper into the oil and gas industry in part 2 of our interview.


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