Gabriel Equitz
Assistant at Ideaflow Inc.
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolGabriel Equitz is a Bay Area software engineer with a BS in Computer Science from SFSU and roughly a decade of practical experience blending software engineering and data science. After pivoting into data-driven work via the Metis bootcamp, he built end-to-end ML projects—from sovereign default classification models and NLP analyses of State of the Union addresses to credit-risk and box office regression studies—and deployed interactive apps using Streamlit and Heroku. At eGain he progressed from technical trainee to analytics in product engineering and now automates AWS-backed workflows, demonstrating a strong operational grasp of cloud tooling in production. Comfortable across Python data libraries, scikit-learn, XGBoost, and SQL, he pairs statistical intuition with hands-on engineering to turn messy datasets into actionable insights. A Sunnyvale resident who stepped away briefly in 2020 to care for family, he brings both empathy and persistence to team collaborations and problem solving.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at San Francisco State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
metis3
linear-regression3
python2
regression2
machine-learning1
Programming languages (1)
Github contributions (5)
gequitz/Sovereign_Risk_Model
Mar 2021 - Nov 2021
Contributions:15 commits, 14 pushes, 1 branch in 8 months
gequitz/State_of_The_Union_Analysis_NLP
Feb 2021 - Feb 2022
Contributions:12 pushes, 1 branch in 11 months
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