Gavin Chait

Honorary Principal Research Fellow at UCL

Marseille, Provence-Alpes-Côte d'Azur, France
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Summary

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Senior
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Gavin Chait is an interdisciplinary data scientist, engineer and economist with 11+ years building data-driven products and open data infrastructure for governments, multilateral organisations and universities across Africa and Europe. He leads product and research work—currently as Honorary Principal Research Fellow at UCL and through his consultancy Whythawk—delivering applied analytics, interoperable data systems and ETL tools such as Whyqd and the openLocal.uk commercial location time‑series. His background spans enterprise market intelligence at GE Healthcare to open-data platform product management at the Open Knowledge Foundation, combining technical hands-on development (Python, FastAPI, TypeScript, geospatial viz) with policy-facing impact. Gavin’s work often sits at the intersection of public good and markets—improving data collection, release and governance to inform development, public health and urban policy. He’s as comfortable leading technical builds and fundraising as he is mentoring graduate research, and has an engineer’s curiosity tempered by economist-style rigor (and a noted fondness for coffee).
code11 years of coding experience
job9 years of employment as a software developer
bookEngineering, Electrical Engineering, Computer Science, Engineering, Electrical Engineering, Computer Science at University of Cape Town
languagesAfrikaans, English, French
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167reputation
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3answers
8questions
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Github Skills (106)

fastapi10
postgresql10
python10
cookiecutter10
shadcn-ui10
openapi10
bulma10
docker-compose10
neo4j10
jwt10
sqlmodel10
typescript10
full-stack10
tailwindcss10
playwright10

Programming languages (7)

TypeScriptShellJavaScriptVueJupyter NotebookRubyPython

Github contributions (5)

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Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Nuxt3, Docker, automatic HTTPS and more.
Contributions:10 releases, 2 reviews, 26 commits in 1 year 6 months
databasedockerfastapifull-stacknuxt
whythawk/whyqd-hub

Feb 2023 - Sep 2025

Perform schema-to-schema transforms for interoperability and data reuse. Transform messy data into structured schemas using readable, auditable methods.
Contributions:4 PRs, 92 pushes, 4 branches in 2 years 7 months
data-interoperabilitydata-managementdata-sciencedata-wranglingopen-science
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