Data Scientist; Innovation factory, end to end python pipelines and solutions; Delfi integration at SLB
📍 Pensacola, Florida, United States
Amir Shamsa is a Domain Data Scientist at SLB with over a decade of experience in geophysics and machine learning. A PhD graduate from the University of Calgary, he focuses on creating innovative technologies and driving digital transformation within the energy sector, specializing in physics-based modeling and numerical simulation.
Amir is deeply committed to sharing knowledge and advancing the skills of his peers. He developed and teaches a hands-on machine learning course at SLB’s Innovation Factory, educating hundreds of professionals globally and earning high ratings for his instruction.
Unique fact: Amir created SLBs machine learning course for geoscientists and engineers from the ground up.
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Experience
19 Years
Current Role
Data Scientist; Innovation factory, end to end python pipelines and solutions; Delfi integration
Location
Pensacola, Florida, United States
Personality Overview
How Amir shows up
Meticulous
Logical And Quick
Observative
They focus on objectivity in a pitch and pay little attention to bells and whistles. They can be nudged to make faster decisions by offering what they value. They don’t always try to control the conversation but neither do they like yielding it fully.
Priorities
Topics Amir cares about
Energy Sector Innovation
His work at SLB's Innovation Factory involves developing new digital solutions and end-to-end python pipelines for reservoir challenges.
Applied Machine Learning
He has implemented various ML applications in geoscience and teaches ML courses to professionals in the energy sector.
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Career
Work history
5-2023
Data Scientist; Innovation factory, end to end python pipelines and solutions; Delfi integration
SLB
4-2013 - 6-2023
Senior Geophysicist; Petrel trainer. Handling projects in conventional and unconventional reservoirs
SLB
3-2011 - 4-2013
Student Intern; Ocean SDK developer for Petrel; SIS Canada
SLB
9-2009 - 10-2011
Research Assistant; PhD. student to research on heavy oil modeling in reservoir characterization
University of Calgary
9-2006 - 9-2009
Field Geophysicist; Client acquisition representative on Offshore Land and TZ projects
Iranian Offshore Oil Company
In the press
Media appearances
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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