Tom Higgins
Co-Founder at Argo Aerospace
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTom Higgins is a data scientist and co-founder with nine years of experience building ML-driven products at the intersection of natural language processing, computer vision, and aerospace. Based in San Francisco, he leads technical work at Argo Aerospace, applying Python-first tooling (TensorFlow, Keras, scikit-learn) to productionize predictive models and data visualizations. His background from Lambda School emphasizes practical, end-to-end data science—data cleaning, feature engineering, regression and clustering—paired with lightweight deployment via Flask. Tom combines research-minded experimentation with product focus, shipping models that inform aerospace decisions rather than just proving concepts. He’s as comfortable digging into NumPy and model diagnostics as he is communicating results through Plotly and Seaborn. Avid about aerospace, he channels that domain passion into applied ML solutions that bridge research and operational needs.
9 years of coding experience
Data Science, Data Science at Lambda School
Github Skills (94)
google-search9
deep-learning9
scrape9
tensorflow9
crawler8
bing8
timing8
python-scripts8
qbcore-framework8
google-images8
corelocation8
abaqus7
terminology7
opcodes7
duckduckgo7
Programming languages (6)
Github contributions (5)
Higgins2718/promethea5
May 2017 - May 2018
Fifth repo. Started from MacBook
Contributions:802 pushes, 1 branch in 1 year
macosmacbook
Higgins2718/promethea
Jan 2017 - Mar 2017
Contributions:298 pushes, 1 branch in 2 months
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