Jeff Ott

Jeff Ott Email and Phone Number

Data Scientist | Research Analytics Scientist at Stanford | Engineer @ Stanford University
Jeff Ott's Location
San Francisco, California, United States, United States
Jeff Ott's Contact Details

Jeff Ott personal email

n/a
About Jeff Ott

I am currently a Research Analytics Scientist with the Stanford GSB DARC Team, where I work closely with professors to analyze novel datasets, mainly focusing on NLP and Deep Learning. My projects often involve uncovering insights from complex often unstructured data, aiming to contribute to academic research in meaningful ways.Prior to this role, I worked as a petroleum engineer in the Midland Basin. In this role I managed multiple fields and utilized my creativity and coding ability to streamline management tasks and optimized field recoveryI'm passionate about the power of data to inform decisions and drive advancements. As I continue in my career, I'm excited to further explore how NLP and Deep Learning can uncover new findings and applications, both in academia and beyond.

Jeff Ott's Current Company Details
Stanford University

Stanford University

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Data Scientist | Research Analytics Scientist at Stanford | Engineer
Jeff Ott Work Experience Details
  • Stanford University
    Research Analytics Scientist
    Stanford University Sep 2022 - Present
    Stanford, Ca, Us
  • Ucsf Radiology
    Data Science Researcher
    Ucsf Radiology Sep 2021 - Jul 2022
    • Developed predictive models for dementia progression from MRI data to access cognitive decline • Created an Encoder/ Decoder model in PyTorch to semantically segment 3D MRI images into a 90-label atlas with a dice score of .75• Used an ensemble architecture to combine a Convolutional neural network with tabular data to predict ADAS-Cog score for the Alzheimer’s Disease Neuroimaging Initiative dementia MRI dataset• Built a Python visualization to accurately portray 3D semantic segmentation results in Plotly • Trained 60GB of data on a distributed environment, utilized 6 GPUS to speed up training
  • Apache Corporation
    Production Engineer
    Apache Corporation Jul 2019 - Mar 2020
    Houston, Texas, Us
    • Created a Spotfire visual database which combined all chemical/solids testing to easily determine repeat failure trends • Optimized pump designs to handle expected fluid yield from workover jobs• Directed acid jobs on-site, participating in all parts of the operation• Managed 500+ wells (356 Producers, 152 Injectors)
  • Apache Corporation
    Operations Engineer
    Apache Corporation Jan 2019 - Jul 2019
    Houston, Texas, Us
    • Created a plunger lift scheduler in VBA which standardized plunger inspections and reduced catastrophic failure rate to 0%• Increased production through plunger optimization by 21 BOPD & 161 MCFPD over the lease and decreased injection 131 MCFPD, increasing lease income by $65,000 per month• Created a Python visualization tool to present downhole issues, improving failure analysis
  • Apache Corporation
    Reservoir Engineer
    Apache Corporation Aug 2018 - Jan 2019
    Houston, Texas, Us
    • Developed a tool in Python to calculate significant dependent variables in wellbore scaling analysis• Designed a Python tool with plotly to visualize fiber optics completion jobs, cutting analysis time by 94%• Brought multimillion-dollar projects from concept to action within a multidisciplinary team• Created a Spotfire interface to quickly access play economics and accurately assess project costs• Proposed a well in the Cline formation which initially produced (IP’d) at 1100 BOPD on a 1.5 mile lateral, proving the reservoir and added 46 additional wells to the inventory
  • Apache Corporation
    Reservoir Intern
    Apache Corporation May 2017 - Aug 2017
    Houston, Texas, Us
    • Analyzed over 300 wells to understand production drivers• Summarized completion data trends to optimize the design for prospective wells• Built forecasts and ran economics for five prospective drilling areas (20 wells) to characterize existing drilling inventory
  • Apache Corporation
    Field Intern
    Apache Corporation May 2016 - Aug 2016
    Houston, Texas, Us
    • Studied the effects of pumpjack weight imbalance on power usage and helped prioritize wells for balancing operations and motor change recommendations • Created VBA code to analyze area wells for rod pump efficiency

Jeff Ott Education Details

  • University Of San Francisco
    University Of San Francisco
    Data Science
  • Texas A&M University
    Texas A&M University
    Minor In Computer Science

Frequently Asked Questions about Jeff Ott

What company does Jeff Ott work for?

Jeff Ott works for Stanford University

What is Jeff Ott's role at the current company?

Jeff Ott's current role is Data Scientist | Research Analytics Scientist at Stanford | Engineer.

What is Jeff Ott's email address?

Jeff Ott's email address is je****@****orp.com

What schools did Jeff Ott attend?

Jeff Ott attended University Of San Francisco, Texas A&m University.

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