eddwebster
Edd Webster
Senior Data Scientist at Ludonautics
London, United Kingdom

Experienced Data Science and Football Analytics professional with 5+ years of professional experience, currently working in my third season in elite sport. Senior Data Scientist with Ludonautics. Previously First Team Lead Data Scientist at Leicester City Football Club, and Data Scientist for Analytics FC and the LEGO Group. For more information: • Website: eddwebster.com • Email: edd.webster.analytics@gmail.com • Open source: github.com/eddwebster/football_analytics

CodersRank Score

What is this?

This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better

Information on how to increase score and ranking details you can find in this blog post.

23.4
CodersRank Rank
Top 8%
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Ludonautics
Jun 2024 - Present (1 year 7 months)
Remote Current workspace
Currently Edd Webster supports the Ludonautics

Edd Webster's scores will be added to this company.

Senior Data Scientist
• Working directly with football clubs to develop models and tools for analysing and forecasting on-field performance.
• Performing bespoke and detailed data analysis and research at the request of client clubs, regarding their squad needs and recruitment strategy.
• Productionising new models and analysis alongside the data engineering team.
python data science machine learning
Leicester City Football Club
Apr 2023 - Jun 2024 (1 year 2 months)
Seagrave, United Kingdom
Lead Data Scientist
• Developed an integrated, club-wide approach to providing data-driven insights for performance analysis, player recruitment, sports science, and medical aspects of the club’s operation.
• Conducted statistical modelling relating to match performance using summary, event, and tracking data.
• Presented data-driven insights relating to team and player performance.
• Translated complex analytical concepts clearly and simply to football practitioners and stakeholders.
• Identified long-term performance trends.
• Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports.
• Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services.
• Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.• Developed an integrated, club-wide approach to providing data-driven insights for performance analysis, player recruitment, sports science, and medical aspects of the club’s operation. • Conducted statistical modelling relating to match performance using summary, event, and tracking data. • Presented data-driven insights relating to team and player performance. • Translated complex analytical concepts clearly and simply to football practitioners and stakeholders. • Identified long-term performance trends. • Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports. • Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services. • Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.
python machine learning data science tableau aws pandas data visualization data analytics matplotlib
Analytics FC
May 2022 - Apr 2023 (11 months)
Remote
Football Data Science Consultant
• Worked in a freelance capacity to provide data-driven analysis to clubs and stakeholders as part of Analytics FC's many products including Coach ID and Signature.
python data science data visualization

Request failed with status code 503

Jobs for you

Show all jobs
Feedback