Harry Gibson
Data Scientist (Innovation)
Cherwell District, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHarry Gibson is a geospatial data scientist and developer with 14 years of applied experience and over 20 years in mapping and environmental science. He currently leads imagery analytics and deep-learning projects at Ordnance Survey to automate vector basemapping and to monitor carbon-rich soils for scalable restoration and carbon crediting. His background spans academic and applied roles at the University of Oxford and major research institutes, where he built efficient large-raster processing pipelines, ETL workflows, and GIS dissemination systems using Python, C#, ESRI, PostGIS and FME. He has practical flood and environmental modelling experience from consultancy and research, giving him a strong grounding in both field-driven requirements and production engineering. Known for bridging domain science with production-ready software, he combines hands-on coding with technical leadership on Earth Observation and public-good mapping projects. Based in Cherwell District, UK, he blends rigorous academic training (PhD) with a track record of delivering tools that scale from research to national mapping infrastructure.
14 years of coding experience
12 years of employment as a software developer
Bsc, Natural Sciences, computer science, Bsc, Natural Sciences, computer science at Durham UniversityPhD, Earth Sciences, Environmental Science, PhD, Earth Sciences, Environmental Science at University of Durham
Github Skills (43)
renaming10
recode10
exports9
census8
cartography8
hierarchical8
data-files8
data-format7
wsl27
osm-data7
parsing6
parser6
postgresql-database6
relational6
naming5
Programming languages (7)
Github contributions (5)
harry-gibson/js2shapefile
Jan 2012 - Oct 2015
Contributions:8 commits, 1 push in 3 years 9 months
harry-gibson/DHS-To-Database
Aug 2015 - Jun 2021
Code for parsing hierarchical data in CSPro format, specifically that provided by DHS as individual recode hierarchical data format. Reconstructs the relational table structure of the source data, parses data files into this structure, and loads the data to a PostgreSQL database
Contributions:2 releases, 6 PRs, 39 pushes in 5 years 10 months
data-sourceindividualpostgresql-databaserelationalsql-database
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