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Data Engineering in Oil and Gas – Turing Analytics
In oil & gas, accuracy and transparency aren’t optional, they’re mission-critical. This session dives into why Turing Analytics prioritizes explicit engineering calculations over black-box approaches like LLMs and machine learning for high-stakes analytics. We’ll explore what Turing does, where ML genuinely adds value, and why explain-ability matters in operational decisions. Expect practical examples and lessons learned for anyone working at the intersection of energy, data, and advanced analytics.

Where: Platform Calgary, East Annex
When: Wednesday, November 26, at 5:30pm

Schedule:
5:30 - Food and Networking
6:00 - Presentation and Discussion
7:30 - Wrap up

Speaker Bio:
Thomas Zhao is a Data Engineer Team Lead with extensive experience in building scalable data pipelines and bringing forth industry insight from public data. He leads a team focused on delivering high-performance solutions that empower analytics and machine learning initiatives. Passionate about data quality and automation, Thomas combines technical expertise with leadership to drive efficiency and innovation. Outside of work, he enjoys many hobbies including running, gaming, and watchmaking.

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Sponsors

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NumFocus
Promoting accessible and reproducible computing in science & technology.
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Viewpoint Investment Partners
A Calgary community partner in advancing data science in finance

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