Alex Cattrell
Data Scientist - Research & Development @Lloyd's Register
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WORK HISTORY
Data Scientist - Research & Development @Lloyd's Register
Chester, GB
Conceptualising, designing, and implementing a cutting-edge geospatial data platform to enable advanced analysis of the global maritime fleet and empowers the entire business with self-service data capabilities. • Utilised global AIS data to mine locations of maritime features of interest, such as berths, anchorages, and drydocks.• Employed a novel use of H3 to vastly improve the computational efficiency of density-based clustering algorithms.• Integrated information from port databases and charting data to build a comprehensive and up-to-date dataset, supporting novel and powerful analytics.• Leveraged Spark on Databricks, Databricks Delta Lake, and Databricks Genie Text-to-SQL LLM for enhanced data processing and analysis.• Originated these ideas, secured business funding, and executed the technical work, delivery, and ongoing support.
EDUCATION
Birkenhead School
Maths, Physics, Chemistry, Electronics
University of Southampton
Master of Science (MSci), Oceanography
University of Southampton
Doctor of Philosophy (PhD), Fluid Structure Interactions / Physical Oceanography
SKILLS
ABOUT ALEX CATTRELL
A strategic data science leader specialising in the maritime industry, with a proven track record of conceptualising and delivering high-impact, scalable data solutions from end-to-end. I bridge the crucial gap between complex business challenges and technical execution, leading initiatives from initial stakeholder engagement and needs-analysis through to platform deployment and client delivery. My expertise lies in transforming low-maturity, messy datasets into robust, revenue-generating analytics platforms and consultancy streams.At LR, I lead initiatives that bring structure, insight, and intelligence to AIS, operational, and emissions data in the maritime sector. My main focus is building a geospatial intelligence platform that supports spatio-temporal analytics at scale. Using tools like h3, Spark, Databricks, and Azure, I have designed and implemented a data architecture that powers AI-enabled self-service analytics for the whole organisation. The platform leverages an ensemble of AI agents to faciliate no-code access, a part of a wider effort to democratise data and reduce reliance on technical teams.
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