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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.
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Director Of Data Science - GridinformE Source Feb 2023 - PresentBoulder, Colorado, Us -
Manager Of Data ScienceE Source Feb 2021 - Feb 2023Boulder, Colorado, Us -
Data ScientistE Source Jan 2018 - Feb 2021Boulder, Colorado, Us● 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 -
Advanced Data Analytics EngineerCorning Incorporated Jan 2017 - Jan 2018Corning, New York, Us● 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 -
Nih FellowDuke University Jul 2014 - Dec 2016Durham, North Carolina, Us● 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 -
Undergraduate ResearcherToshiba Stroke And Vascular Research Center Sep 2013 - Apr 2014Developed a catheter tip actuation mechanism for endovascular intracranial aneurysms.
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Research AssistantBuffalo Neuroimaging Analysis Center Apr 2013 - Apr 2014Developed software to automate various post-processing and analysis that allowed automated lesion territory analysis in multiple sclerosis.
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Undergraduate ResearcherComputational Biomedical Imaging Lab Sep 2012 - Apr 2014Developed and applied compressed sensing MR image reconstruction in FLAIR imaging of patients with multiple sclerosis.
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Student AssistantUniversity At Buffalo 2011 - Dec 2013Buffalo, Ny, UsSchool of Engineering and Applied Sciences Small Group Tutor for Physics, Calculus I and II, and Chemistry.
Kyle Decker Skills
Kyle Decker Education Details
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Duke UniversityBiomedical Engineering -
University At BuffaloBiomedical Engineering
Frequently Asked Questions about Kyle Decker
What company does Kyle Decker work for?
Kyle Decker works for E Source
What is Kyle Decker's role at the current company?
Kyle Decker's current role is Director of Data Science at E Source.
What is Kyle Decker's email address?
Kyle Decker's email address is kd****@****ata.com
What is Kyle Decker's direct phone number?
Kyle Decker's direct phone number is +191929*****
What schools did Kyle Decker attend?
Kyle Decker attended Duke University, University At Buffalo.
What are some of Kyle Decker's interests?
Kyle Decker has interest in Machine Learning, Medical Imaging, Medical Imaging Research And Development, Data Science.
What skills is Kyle Decker known for?
Kyle Decker has skills like Machine Learning, Data Analysis, Deep Learning, Python, Matlab, Sql, C++, C, C#, R, Image Processing, Medical Imaging.
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