Andy Gabey
Principal Data Scientist
Manchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndy Gabey is a Principal Data Scientist with 11 years' experience applying modelling, machine learning and cloud engineering to solve real-world problems across academia, government and industry. He builds stakeholder-driven analytics and data platforms—leading teams, designing architectures and operationalising pipelines in AWS and GCP—while translating complex environmental and operational data into actionable insights. His background includes doctoral research in atmospheric sciences and hands-on work with high-resolution urban energy models, satellite and weather datasets to support supply-chain resilience and hazard monitoring. Known for moving modelling workflows out of monolithic code into CI-driven, versioned data lakes and APIs, he combines technical delivery with customer-focused prototyping. Based in Manchester, he pairs scientific rigour with pragmatic engineering to deliver measurable business value.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Atmospheric Sciences and Meteorology, Doctor of Philosophy (PhD) Atmospheric Sciences and Meteorology at The University of Manchester
Github Skills (31)
plsql10
static-code-analysis10
static-analysis10
analyzer10
java10
code-analysis10
source-code-analysis10
apex10
code-analyzer10
linter10
extensible10
swift10
refactoring10
resharper10
samd219
Programming languages (4)
Github contributions (5)
andyrobinson/ard-nav
Aug 2021 - Apr 2025
Contributions:1 release, 443 pushes, 3 branches in 3 years 8 months
andyrobinson/pi-nav
Jan 2015 - Mar 2018
Contributions:128 pushes in 3 years 3 months
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