Edd Webster
Senior Data Scientist
Stevenage, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolEdd Webster is a Senior Data Scientist with 7+ years specialising in football analytics, currently building models and production tooling at Ludonautics after leading data-driven performance work for Leicester City’s Championship-winning 23/24 season. He combines hands-on data engineering (web scraping, Pandas, ETL) with statistical modelling across summary, event and tracking data to inform recruitment, performance and sports-science decisions. His background spans elite-club roles (City Football Group, West Ham) and commercial analytics at LEGO and Peru Hop, giving him a rare blend of sports, product and cloud-data experience. Edd publishes open football research and tools—his football_analytics repo curates community datasets and demonstrates practical acquisition and processing pipelines. He’s practiced at translating complex analytics into clear recommendations for non-technical stakeholders and at productionising models alongside engineering teams. Based in Stevenage, he pairs academic rigour from an MSci in Chemistry with a pragmatic, stakeholder-focused approach to delivering impact.
7 years of coding experience
4 years of employment as a software developer
Master of Chemistry (MSci) Chemistry, Master of Chemistry (MSci) Chemistry at Queen Mary University of London
Spanish
Stackoverflow
124reputation
4kreached
1answer
5questions
Github Skills (10)
pandas10
beautifulsoup10
python10
webscraping10
data-engineering10
data-analysis10
regex6
numpy6
dataframe6
fuzzy-logic6
Programming languages (3)
Github contributions (5)
eddwebster/football_analytics
Feb 2021 - Jan 2023
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Role in this project:
Data Scientist & Data Engineer
Data Scientist & Data EngineerContributions:1093 commits, 1 PR, 1474 pushes in 1 year 11 months
Contributions summary:Edd's contributions center around web scraping, data processing, and data engineering for a football analytics project. They developed a web scraping component using Beautiful Soup to extract data from FBref. They also worked with Pandas to manipulate data and perform further data analysis and data engineering. This user appears to be responsible for data acquisition, preparation, and possibly initial analysis within the football analytics domain, as indicated by the repository's focus.
analyticsdata-scienceexpected-goalsfbreffifa
eddwebster/fifa-league
Apr 2020 - Dec 2020
Contributions:16 commits, 15 pushes, 1 branch in 8 months
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