Richard Copsey introduces the idea of looking "beyond the walls" for data science and machine learning solutions. New approaches like crowdsourcing can bring data science work in from a wide, external talent pool. We also discuss three specific

Jenny Johnson, Emerging Technologies Incubation Manager (Part 2)

Jan 2nd, 2020 19m 50s

In part 2, we get tips from Jenny for how to be a successful entrepreneur in the startup space of data science and machine learning. For instance, we cover the dos and don'ts of navigating a tech showcase as a startup.

Jenny Johnson, Emerging Technologies Incubation Manager (Part 1)

Jan 2nd, 2020 14m 1s

Jenny Johnson discuss how to work with emerging technologies in data science and machine learning. In particular, she walks through working with startups, and more generally the startup ecosystem, to solve business pain points requiring new dat

Matt Morris, Project Geophysical Advisor (Part 2)

Dec 31st, 2019 19m 9s

How does a machine learning skeptic turn into a machine learning advocate? In Part 2, Matt recounts his data science and machine learning journey from his initial introduction and skepticism to his acceptance and forward looking thoughts on whe

Matt Morris, Project Geophysical Advisor (Part 1)

Dec 31st, 2019 15m 57s

As a senior geoscientist who has been involved in many data science and machine learning projects, Matt Morris discusses where these fields fit into the work of a geoscientist in oil and gas. He describes what problems are well suited for data

Dilshad Akkam Veettil, Data Scientist (Part 2)

Dec 31st, 2019 19m 22s

In part two, we find out what led Dilshad to pursue science and how his career took some unexpected turns along the path to becoming a data scientist.

Dilshad Akkam Veettil, Data Scientist (Part 1)

Dec 31st, 2019 20m 23s

Still new to being a data scientist, Dilshad tells us about his latest work on Geosteering and reveals how an afternoon at a loud cupcake cafe helped with a messy data problem.

Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 2)

Dec 18th, 2019 13m 53s

In the second half of Ingrid Tobar's interview, she shares with us her love for Environmental Science and how that evolved into working in the Oil and Gas industry.

Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 1)

Dec 17th, 2019 13m 44s

Data Scientist Ingrid Tobar walks us through one of her most interesting projects, Rapid Basin Evaluation. She discusses this project for shortening the timeline for a basin evaluation and how the team was able to accomplish that goal.

Alex Bayeh, Data Science Technology Advancement Manager (Part 2)

Dec 17th, 2019 18m 14s

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 17th, 2019 24m 20s

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 15th, 2019 30m 4s

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 ma

Vincent LeMoine, Data Engineering Manager (Part 1)

Dec 15th, 2019 11m 43s

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

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