Kyle Decker
Director Of Data Science - GridInform
Buffalo, New York, United States
Summary
👤
Senior🎓
Top SchoolKyle Decker is a multidisciplinary data science leader with a decade of experience applying advanced analytics to utilities and manufacturing, currently serving as Director of Data Science at GridInform (E Source). He has led customer-facing projects that translate complex data—ranging from MR imaging and multimodal optical/3D imagery to grid outage forecasts—into operational insights and measurable value. Kyle blends hands-on technical depth (image reconstruction, defect classification, forecasting) with people and hiring leadership, having built teams and contributed to technical interview design. His background in biomedical engineering and early MRI research informs a rigorous, experimental approach to feature engineering and model validation that’s uncommon in industry analytics. Based in Buffalo, NY, he excels at bridging domain expertise and scalable analytics to solve high-stakes infrastructure problems.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Biomedical Engineering, Master’s Degree Biomedical Engineering at Duke UniversityBachelor's Degree Biomedical Engineering, Bachelor's Degree Biomedical Engineering at University at Buffalo
EnglishGithub contributions (5)
kyledecker/Automated_Cervical_Cancer_Classification
Nov 2016 - Dec 2016
Contributions:48 commits, 2 branches, 1 tag in 14 days
kyledecker/B-mode-Ultrasound
Nov 2016 - Nov 2016
Contributions:25 commits, 1 branch, 1 tag in 11 days
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