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eddwebster/README.md

Hi, I'm Edd

Edd Webster

Football Data Scientist βš½πŸ“Š.

Expertise in:

  • Football Analytics
  • Data Science and Machine Learning
  • Python
  • R
  • SQL
  • Tableau

πŸ‘‹ About Me

I am an experienced Data Science and Football Analytics professional with 5+ years of professional experience, currently working in my third season in elite sport with Ludonautics. Previously I was the First Team Lead Data Scientist at Leicester City Football Club, and Data Scientist for Analytics FC and the LEGO Group.

I enjoy exploring and working in the fields of data science, machine learning, statistics, data engineering, data visualisation, and football analytics, for which this GitHub profile includes much of my publicly available work around these topics.

Please see my football_analytics repository for a collection of football analytics projects, data, and analysis that I have created, with links to publicly available resources in the football analytics community.

For more information:

CV Badge EddWebster.com Badge LinkedIn Badge GitHub Badge HackerRank Badge Coder Rank Badge Tableau Badge


βš’οΈ Tech Stack

I am comfortable working with the following languages and software:

Python:


Python

Jupyter Notebooks

pandas

NumPy

Scikit Learn

matplotlib

PySpark

Other Data Science languages and tools:


R

R Studio

Tidyverse

Tableau

πŸ“° Articles


πŸ§‘β€πŸŽ“ Courses


πŸ“ˆ GitHub Stats

Edd's Github Stats


⭐ Football Analytics GitHub Stars History

Star tracker for the football_analytics repository of open-source football analysis projects and resources.

Football Analytics GitHub Stars History


πŸ“« Contact

For more information, I am available through all the following channels:

EddWebster.com Badge Email Badge LinkedIn Badge Twitter Badge Linktree Badge About.me Badge

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  1. football_analytics football_analytics Public

    πŸ“Šβš½ 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.

    Jupyter Notebook 2.4k 320