Thomas Neal
Data Scientist
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolThomas Neal is a data scientist with nine years of experience who applies statistical rigor and machine learning to optimize jet engine MRO workflows at GE Aerospace. Trained in Data Science and Statistics at the University of Colorado Boulder and honed at LISA, he blends cross-disciplinary collaboration with careful model-building to turn complex datasets into actionable business improvements. Earlier roles range from managing onsite operations and creating a 20+ year transactional database that saved $50k annually to founding a small 3D-printed product business that sold 400+ units—evidence of his operational grit and product-minded experimentation. He excels at communicating insights through clear visualizations and stakeholder-focused storytelling, and brings a practical, cost-conscious perspective to data-driven decision making. Always exploring new approaches, he balances academic techniques with hands-on engineering to drive measurable impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Data Science and Statistics, Alumni, Bachelor of Science - BS, Data Science and Statistics, Alumni at University of Colorado Boulder
Github Skills (14)
git10
github10
react9
patch9
javascript9
nodejs9
css8
subversion8
math7
codebase6
certification3
browser1
redux1
react-redux1
Programming languages (4)
Github contributions (5)
nealthom/nealthom.github.io
Sep 2016 - Mar 2017
Contributions:109 pushes, 1 branch in 5 months
nealthom/thesite
Aug 2020 - Oct 2020
my site
Contributions:4 PRs, 133 pushes, 4 branches in 2 months
my-site
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