Rachel Keay

Senior Data Scientist @UK Hydrographic Office

Taunton, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2025 — Present

Senior Data Scientist @UK Hydrographic Office

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Taunton, GB

EDUCATION

1998 — 2004

Belmont Academy

High School, Highers and Advanced Higher

2004 — 2008

University of Glasgow

Bachelor's Degree, Geography

2014 — 2015

University of Aberdeen

Master's Degree, Geographic Information Systems

2019

University of Exeter

Master of Science - MS, Data Science

SKILLS

CartographyGeographic Information Systems (Gis)Global Positioning System (Gps)GeomaticsManagementMicrosoft OfficeRemote SensingMicrosoft ExcelMarine Spatial PlanningDigital MappingGisResearchTime ManagementHospitality ManagementArcgisSurveyingCustomer ServicePythonGeographyOnline ResearchGeographic Information ScienceAnalysisData ScienceSpatial AnalysisRestaurantsBathymetryData Analysis

ABOUT RACHEL KEAY

Delivery focused and dedicated Data Science professional. Experienced in the application of machine learning to geospatial data, computer vision, deep learning, natural language processing, data analysis and visualisation dashboarding. A strong collaborator and project leader, skilled in identifying business priorities and Agile working with multi-disciplinary teams.Experienced in: Automatic target recognition in side scan sonar. Focused on the developing machine learning ready data, and test and evaluation of algorithms. Predictive modelling of water depth from satellite imagery (satellite derived bathymetry) using neural networks to meet International Hydrographic Office CATZOC S-67 standards.Statistical analysis of time-series tidal models. Delivering insight of business textual data using natural language programming (NLP) and visualising on Streamlit dashboards. Productionisation of a tidal contours coastline algorithm using FES2014 and European Space Agency (ESA) Sentinel data on cloud servers: AWS, GCP and Google Earth Engine.Habitat classification models for seagrass, kelp and mangroves. Experiments with Random Forest, Support Vector Machines, and U-Net. Blob detection of offshore infrastructure using ESA Sentinel-1 satellite aperture radar to improve situational awareness for marine navigation.

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Rachel Keay — Senior Data Scientist at UK Hydrographic Office in Taunton, GB | Unifers