Eric Strong
Lead Data Scientist
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolEric Strong is a Lead Data Scientist based in Raleigh, NC with nine years of experience applying machine learning to complex engineering and aerospace problems. He has progressed from graduate research to senior roles at Honeywell Aerospace and executive AI leadership at AURA Technologies before joining Boeing, blending hands-on modeling with product and team-level strategy. Eric specializes in statistical modeling, ML systems, and turning research into sustainable, production-ready products that meet rigorous industry constraints. He is comfortable leading cross-functional teams and bridging technical depth with product management to deliver impactful solutions. His background—a PhD and multiple advanced degrees from the University of Tennessee plus a bachelor’s from Vanderbilt—supports a methodical, research-informed approach to real-world engineering challenges. Colleagues rely on him for clear technical judgment and an uncommon focus on long-term product sustainability in high-stakes domains.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Tennessee-KnoxvilleBachelor's degree, Bachelor's degree at Vanderbilt University
Github Skills (7)
creator3
closest3
tabletop2
twine2
equivalent2
python1
pypy1
Programming languages (1)
Github contributions (5)
drericstrong/pyedna
Jan 2017 - Aug 2017
Contributions:48 commits, 44 pushes, 1 branch in 7 months
drericstrong/pypbe
Jan 2017 - Sep 2017
PyPBE is a resource for tabletop gaming which allows Gamemasters (GM) to fairly select which random rolling method is closest to an equivalent Point Buy value.
Contributions:35 pushes, 1 branch, 6 tags in 7 months
twinepythonclosestequivalentmethod
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