Prerit Shah

Sharpshooter
DISC Type : CD

Product Manager - AI Platforms, MLOps and Data Science at Equinor

Houston, Texas, United States

Overview

Prerit Shah is an AI product manager at Equinor, leading the strategy for MLOps and data science platforms. With a background in aerospace engineering from Texas A&M and a Masters from the University of Houston, his career has spanned from ensuring reliability for the International Space Station at NASA to developing analytics at GE and Baker Hughes.

Outside of his technology focus, Prerit is passionate about teaching Jain philosophy. He explores its intersection with psychology and neuroscience to improve emotional wellbeing and resilience, and has co-founded a non-profit organization called "Stress Academy" to support this work.

Unique fact: Prerit began his career at NASA, providing decision support for the safety and mission success of the International Space Station.

Personality Overview

Precise But Practical

ROI Driven

Fast But Analytical

They respond well to strong and respectful communication.  They prefer to be the ones controlling the conversation or defining the terms. They are not always relationship oriented.

Topics They Care About

MLOps Platforms
He leads the product strategy for AI and MLOps platforms at Equinor and has spoken on Kubeflow implementation at multiple industry and internal conferences.
AI in Energy
His career at Equinor, Baker Hughes, and GE has focused on extracting business value from data science and AI within the oil, gas, and energy sectors.
Generative AI
He has recently obtained multiple certifications in Generative AI from IBM and Microsoft, indicating a strong focus on this cutting-edge technology.

Media Appearances

Prerit has no verified media appearances

Work History

1-2023
Product Manager - AI Platforms, MLOps and Data Science at Equinor
1-2020
Principal Data Scientist / MLOps Architect at Equinor
5-2017 - 1-2020
Senior Data Scientist at Baker Hughes
5-2011 - 4-2017
Lead Controls & Analytics Engineer at GE Power
1-2009 - 5-2011
Systems Reliability Engineer at ARES Corporation at NASA

Education

2007 - 2011
Masters of Science from University of Houston
2002 - 2006
Bechelor of Science from Texas A&M University

More Information

Social Presence :

Prographics :

Exp : 20 Location : Houston, Texas, United States Job Level : Middle Designation : Product Manager - AI Platforms, MLOps and Data Science at Equinor
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Insights For Selling To Prerit

During A Call Or A Meeting

DO's

  • Speak about competitive differentiation that your product offers
  • Be respectful but crisp
  • Use phrases like ‘it’s your decision’, ‘strategic impact’ etc.

DONT's

  • Do not hesitate from asking counter questions, just avoid challenging their authority
  • Do not back off when challenged, respond with a confident, objective answer instead
  • Do not spend too much time focusing on product tech or features

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Prerit is

  • Confidence in impact is paramount to them, followed by a sense of achievement and ROI.
  • Will you ever get a clear answer from Prerit

  • If they are not convinced, they will have no hesitation in telling you the same.

Insights For Deal Planning

    How fast (or slow) will Prerit move?

  • They can reach decisions fairly quickly if they are convinced.
  • Can Prerit take some risk or not?

  • They don’t mind risks but can be quite binary about them.

You And Prerit

Personality Compatibility


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