Principal Data Scientist
Current
Oct 2020 - Present
AeroLeads people directory · profile
Devon Yates Email & Phone Number
Principal Data Scientist at Pacific Gas and Electric Company
at
Pacific Gas and Electric Company
2 work emails found
@pge.com
6 phones found area 612, 917, 412, 415, and 800
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Principal Data Scientist at Pacific Gas and Electric Company
Location
San Francisco Bay Area, United States
Who is Devon Yates? Overview
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Quick answer
Devon Yates is listed as Principal Data Scientist at Pacific Gas and Electric Company at Pacific Gas and Electric Company, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at pge.com, phone signal with area code 612, 917, 412, 415, 800, and a matched LinkedIn profile for Devon Yates.
Devon Yates previously worked as Principal Data Scientist at Pacific Gas And Electric Company and Expert Data Scientist at Pacific Gas And Electric Company. Devon Yates holds M.Sc., Wind Energy from Dtu - Technical University Of Denmark.
Company email context
Email format at Pacific Gas and Electric Company
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{first}.{last}@pge.com
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AeroLeads found 2 current-domain work email signals for Devon Yates. Compare company email patterns before reaching out.
Profile bio
About Devon Yates
Experienced energy industry focused data scientist with a history of successfully implementing innovative solutions to achieve reliable integration of renewable energy onto the bulk grid and modernization of the distribution grid.
Listed skills include Wind, Renewable Energy, Data Analysis, Optimization, and 40 others.
Current workplace
Devon Yates's current company
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9 roles · 24 years
Devon Yates work experience
A career timeline built from the work history available for this profile.
Expert Data Scientist
Lead investigator for R&D projects utilizing advanced analytics to modernize the grid. Developed a phase identification algorithm, secondary topology inference, and distribution asset failure predictions.
Jun 2017 - Oct 2020
Manager Operational Analytics
- Managed operational data flows and processes for wind only balancing authority operations.- Participated in implementation of Alstom EMS system for a Wind Only Balancing authority including EMS power system model development, SCADA programming using C++, custom user interface development, SCADA front end and ICCP configuration.- Achieved 20% reduction in vendor wind power forecasting error through benchmarking of metrics.- Designed operational business processes to mitigate risk due to forecast uncertainty.- Requirements specifications and project and vendor management for external operational tools.- Designed and managed multiple ETL processes to support operational data requirements.- Developed and maintained real time dashboards and historical reporting tools.- Administration of automated alerting processes.- Specified and implemented mobile tablet forms for wind farm avian management program - Designed machine learning approach to generate decision tree for avian management program.- Administered and optimized OSISoft PI and SQL Server Database- Management of source control processes.
Oct 2011 - Jun 2017
Senior Analyst
- Developed and maintained vendor competition to evaluate wind power forecast providers. - Developed operational and financial models to evaluate operational strategies.- Sourced and evaluated investment opportunities in battery, smart grid, stochastic optimization, and forecasting technology.- Specified development of automated wind energy AGC control signal, to reduce inefficient manual process.- Implemented performance metrics for real time operations desk.
Jan 2009 - Dec 2011
Wind Forecast Engineer
- WindLogics is a renewable energy forecast provider purchased by FPL/NextEra- Creation of commercial wind power forecasts using Support Vector Machines (SVM)- Development of probabilistic forecast using logistic regression.- Developed data extraction and quality control process to streamline forecasting process.
Sep 2005 - Dec 2008
M.Sc Wind Energy
Oct 2003 - Oct 2005
Intern
Risoe
Evaluation of results of probabilistic wind power forecast. Preparation of materials for publication.
2003 - 2005
~2 yrs
Engineer
Allegheny Plastics
Design and implementation of industrial automation process for plastics manufacturing.
2003 - 2004
~1 yr
Engineering Intern
Concept and CAD design of fixture for inspection of nuclear equipment.
Jun 2002 - Oct 2002
3 education records
Devon Yates education
M.Sc., Wind Energy
Dtu - Technical University Of Denmark
B.Sc., Mechanical Eng., Physics, Robotics
Carnegie Mellon University
High School
Millbrook School
FAQ
Frequently asked questions about Devon Yates
Quick answers generated from the profile data available on this page.
What company does Devon Yates work for?
Devon Yates works for Pacific Gas and Electric Company.
What is Devon Yates's role at Pacific Gas and Electric Company?
Devon Yates is listed as Principal Data Scientist at Pacific Gas and Electric Company at Pacific Gas and Electric Company.
What is Devon Yates's email address?
AeroLeads has found 2 work email signals at @pge.com for Devon Yates at Pacific Gas and Electric Company.
What is Devon Yates's phone number?
AeroLeads has found 6 phone signal(s) with area code 612, 917, 412, 415, 800 for Devon Yates at Pacific Gas and Electric Company.
Where is Devon Yates based?
Devon Yates is based in San Francisco Bay Area, United States while working with Pacific Gas and Electric Company.
What companies has Devon Yates worked for?
Devon Yates has worked for Pacific Gas And Electric Company, Naturener, Windlogics, Technical University Of Denmark, and Risoe.
How can I contact Devon Yates?
You can use AeroLeads to view verified contact signals for Devon Yates at Pacific Gas and Electric Company, including work email, phone, and LinkedIn data when available.
What schools did Devon Yates attend?
Devon Yates holds M.Sc., Wind Energy from Dtu - Technical University Of Denmark.
What skills is Devon Yates known for?
Devon Yates is listed with skills including Wind, Renewable Energy, Data Analysis, Optimization, Solar Energy, Alternative Energy, Statistics, and Engineering.
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