Daniel Salazar
Staff Data Scientist
Greater Sacramento United States
Summary
👤
Senior🎓
Top SchoolDaniel Salazar is a Staff Data Scientist with 11 years of experience blending rigorous applied-math research and pragmatic ML engineering to solve real-world problems in fintech and payments. He holds a Ph.D. in Applied Mathematics and has a strong track record building fraud and credit-risk models, revenue-optimization systems, and production data pipelines using tools like DBT, Airflow, Pandas, and SQL. Early research focused on adaptive numerical methods for complex fluid-structure simulations, where he cut run-time and memory by seven-fold—an uncommon depth of numerical expertise for industry data scientists. Comfortable across modeling, feature engineering, and deployment, he also built model monitoring and feature infrastructure to detect drift and keep models reliable in production. Based in Greater Sacramento, he combines hands-on technical delivery with a persistent curiosity—whether tuning algorithms or fixing his old motorcycle.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at UC Santa BarbaraUniversity of California Santa Cruz
Github Skills (7)
unit-test6
testing5
jenkins5
continuous-integration4
software-quality4
automation3
test-framework3
Programming languages (1)
Github contributions (5)
dhsalazar/Sudoku-Flask-App
Aug 2015 - Aug 2015
Contributions:2 PRs, 27 pushes, 7 branches in 2 days
dhsalazar/EB_helloworld
Aug 2015 - Aug 2015
Contributions:25 pushes, 3 branches in 1 day
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