Jeff Ott
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Jeff Ott Email & Phone Number

Data Scientist | Research Analytics Scientist at Stanford | Engineer at Stanford University
Location: San Francisco, California, United States 7 work roles 2 schools
1 work email found @stanford.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Role
Data Scientist | Research Analytics Scientist at Stanford | Engineer
Location
San Francisco, California, United States

Who is Jeff Ott? Overview

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Jeff Ott is listed as Data Scientist | Research Analytics Scientist at Stanford | Engineer at Stanford University, based in San Francisco, California, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Jeff Ott.

Jeff Ott previously worked as Research Analytics Scientist at Stanford University and Data Science Researcher at Ucsf Radiology. Jeff Ott holds Master Of Science - Ms, Data Science from University Of San Francisco.

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Email format at Stanford University

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{first}.{last}@stanford.edu
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Profile bio

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.

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Stanford University
Stanford University
Data Scientist | Research Analytics Scientist at Stanford | Engineer
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7 roles

Jeff Ott work experience

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Data Science Researcher

Ucsf Radiology

• 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

Sep 2021 - Jul 2022

Production Engineer

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)

Jul 2019 - Mar 2020

Operations Engineer

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

Jan 2019 - Jul 2019

Reservoir Engineer

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

Aug 2018 - Jan 2019

Reservoir Intern

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

May 2017 - Aug 2017

Field Intern

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

May 2016 - Aug 2016
2 education records

Jeff Ott education

Master Of Science - Ms, Data Science

University Of San Francisco

Bachelor Of Engineering (B.E.), Minor In Computer Science

Texas A&M University
FAQ

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What company does Jeff Ott work for?

Jeff Ott works for Stanford University.

What is Jeff Ott's role at Stanford University?

Jeff Ott is listed as Data Scientist | Research Analytics Scientist at Stanford | Engineer at Stanford University.

What is Jeff Ott's email address?

AeroLeads has found 1 work email signal at @stanford.edu for Jeff Ott at Stanford University.

Where is Jeff Ott based?

Jeff Ott is based in San Francisco, California, United States while working with Stanford University.

What companies has Jeff Ott worked for?

Jeff Ott has worked for Stanford University, Ucsf Radiology, and Apache Corporation.

How can I contact Jeff Ott?

You can use AeroLeads to view verified contact signals for Jeff Ott at Stanford University, including work email, phone, and LinkedIn data when available.

What schools did Jeff Ott attend?

Jeff Ott holds Master Of Science - Ms, Data Science from University Of San Francisco.

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