Director Of Data Science - Gridinform
Current
Feb 2023 - Present
AeroLeads people directory · profile
Kyle Decker Email & Phone Number
Director of Data Science at E Source
at
E Source
1 work email found
@esource.com
2 phones found area 919
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Director of Data Science at E Source
Location
Buffalo-Niagara Falls Area, United States
Who is Kyle Decker? Overview
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Quick answer
Kyle Decker is listed as Director of Data Science at E Source at E Source, based in Buffalo-Niagara Falls Area, United States. AeroLeads shows a work email signal at esource.com, phone signal with area code 919, and a matched LinkedIn profile for Kyle Decker.
Kyle Decker previously worked as Director of Data Science - GridInform at E Source and Manager of Data Science at E Source. Kyle Decker holds Master’S Degree, Biomedical Engineering from Duke University.
Company email context
Email format at E Source
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{first}_{last}@esource.com
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AeroLeads found 1 current-domain work email signal for Kyle Decker. Compare company email patterns before reaching out.
Profile bio
About Kyle Decker
Multidisciplinary data scientist that excels in a collaborative environment with proven ability to design, lead, and conduct analytics projects resulting in impactful insights and value.
Listed skills include Machine Learning, Data Analysis, Deep Learning, Python, and 22 others.
Current workplace
Kyle Decker's current company
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9 roles · 16 years
Kyle Decker work experience
A career timeline built from the work history available for this profile.
Manager Of Data Science
Feb 2021 - Feb 2023
Data Scientist
● External customer-facing data scientist leading, supporting and managing projects and engagements within the utility sector● Designed, led and supported numerous analytics projects relating to power transmission and distribution infrastructure (e.g. forecasting power outages, estimating outage causes and duration, estimating equipment failure/health, estimating technology adoption, identifying specific power load signatures, analyzing aerial imagery of infrastructure)● Key member of data science hiring committee contributing to the design and conduct of technical interviews
Jan 2018 - Feb 2021
Advanced Data Analytics Engineer
● Analytics engineer supporting all divisions of Corning’s diverse manufacturing portfolio● Designed and led numerous analytics projects to improve manufacturing process understanding and capabilities (e.g. glass defect classification using multi-modal optical imagery, die defect identification using 3D X-ray imagery, estimating variability of plug depth in gas particulate filters, estimating die slot-width measurement variability)● Technical lead for data definition, traceability, and analytics effort for an early stage manufacturing process of gas particulate filters● Contributed to the design and conduct of technical interviews
Jan 2017 - Jan 2018
Nih Fellow
● Graduate student with research funded through an NIH pre-doctoral fellowship● Designed and led numerous research projects pertaining to magnetic resonance imaging (e.g. classification of MR time-series data to differentiate tissue microstructure properties, disease classification from high dimensional images, regression-based image prediction from multimodal MR)● Developed novel image reconstruction algorithms for the purpose of investigating MR susceptibility mapping and magnetic field distribution utilizing high-field MRI
Jul 2014 - Dec 2016
Undergraduate Researcher
Toshiba Stroke And Vascular Research Center
Developed a catheter tip actuation mechanism for endovascular intracranial aneurysms.
Sep 2013 - Apr 2014
Research Assistant
Buffalo Neuroimaging Analysis Center
Developed software to automate various post-processing and analysis that allowed automated lesion territory analysis in multiple sclerosis.
Apr 2013 - Apr 2014
Undergraduate Researcher
Computational Biomedical Imaging Lab
Developed and applied compressed sensing MR image reconstruction in FLAIR imaging of patients with multiple sclerosis.
Sep 2012 - Apr 2014
Student Assistant
School of Engineering and Applied Sciences Small Group Tutor for Physics, Calculus I and II, and Chemistry.
2011 - Dec 2013
2 education records
Kyle Decker education
Master’S Degree, Biomedical Engineering
Duke University
Bachelor'S Degree, Biomedical Engineering
University At Buffalo
FAQ
Frequently asked questions about Kyle Decker
Quick answers generated from the profile data available on this page.
What company does Kyle Decker work for?
Kyle Decker works for E Source.
What is Kyle Decker's role at E Source?
Kyle Decker is listed as Director of Data Science at E Source at E Source.
What is Kyle Decker's email address?
AeroLeads has found 1 work email signal at @esource.com for Kyle Decker at E Source.
What is Kyle Decker's phone number?
AeroLeads has found 2 phone signal(s) with area code 919 for Kyle Decker at E Source.
Where is Kyle Decker based?
Kyle Decker is based in Buffalo-Niagara Falls Area, United States while working with E Source.
What companies has Kyle Decker worked for?
Kyle Decker has worked for E Source, Corning Incorporated, Duke University, Toshiba Stroke And Vascular Research Center, and Buffalo Neuroimaging Analysis Center.
How can I contact Kyle Decker?
You can use AeroLeads to view verified contact signals for Kyle Decker at E Source, including work email, phone, and LinkedIn data when available.
What schools did Kyle Decker attend?
Kyle Decker holds Master’S Degree, Biomedical Engineering from Duke University.
What skills is Kyle Decker known for?
Kyle Decker is listed with skills including Machine Learning, Data Analysis, Deep Learning, Python, Matlab, Sql, C++, and C.
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