Joyce Tagal
San Francisco, California, United States
Summary
Joyce Tagal is a Senior Data Scientist based in San Francisco with six years of experience applying full-stack data science and engineering to public-sector problems. She blends a background in policy analysis and management consulting with hands-on skills in Python, GCP, Airflow, and web technologies to deliver production data pipelines and decision-facing analytics for municipal and justice-sector partners. At Stanford RegLab and Vera Institute she’s optimized housing permitting, pothole detection, service routing, and integrated 20+ jail data sources into a public-facing analytics site. Joyce’s work often sits at the intersection of research, product, and government operations—she’s equally comfortable briefing city managers as she is refactoring legacy pipelines. A former regional lead and policy facilitator in Southeast Asia, she brings a proven ability to translate messy, multidisciplinary problems into actionable technical and policy solutions.
6 years of coding experience
Github Skills (29)
corona9
keras8
data-versioning7
hyperparameter-tuning7
collaboration6
ai6
tensorflow6
machine-learning6
pytorch6
reinforcement-learning6
mlops5
deep-learning5
hyperparameter-optimization5
scraper5
data-science5
Programming languages (5)
Github contributions (5)
dcl-covid-19/mega-map
May 2020 - Jan 2021
Bay Area resource map
Contributions:26 commits, 7 PRs, 10 pushes in 8 months
bay-areamapbayopenstreetmap
jayktee/jayktee.github.io
Mar 2020 - Nov 2020
Contributions:78 pushes, 2 branches in 7 months
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