Terrence O'neill
Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolTerrence O'Neill is a data scientist with a decade of experience applying machine learning and data engineering to financial services and enterprise products, currently building models and solutions at Capital One. He progressed from machine learning engineering into data science roles, bringing practical production experience in model deployment, data extraction, and scalable analytics. His background includes consulting on ML and data extraction for a top-10 bank and hands-on training through General Assembly’s immersive data science program, giving him both domain and practitioner breadth. Trained as a physicist, he combines rigorous quantitative thinking with grit and resourcefulness to tackle complex, messy data problems. Known for fostering collaborative teams and thoughtful relationships, he balances technical depth with strong communication and client-facing experience. Based in Washington, DC, he also brings a history of sports analytics and research roles that reflect an aptitude for turning unconventional data sources into actionable insight.
10 years of coding experience
7 years of employment as a software developer
Data Science, Data Science at General Assembly4.0, 4.0 at Fairport High SchoolBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Boston College
Github Skills (2)
capstone7
python3
Github contributions (5)
cl65610/west_nile
Jun 2016 - Jun 2016
Contributions:45 commits, 37 pushes in 11 days
differential-defenestration/models_compilation
Jun 2016 - Jul 2016
Contributions:26 commits, 23 pushes, 1 branch in 23 days
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