Football Data Scientist ⚽📊.

Expertise in:

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

I have been working in business and data analysis for both first team football and commercial industries for six years. Previously I was the First Team Lead Data Scientist at Leicester City Football Club, as well as working as a 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, see the following...

Although a little out of date now (with code I would dearly like to refactor), the code in my football_analytics GitHub repository can be found in the notebooks subfolder, of which the workflow is divided into the following:

1. Webscraping
2. Data Parsing
3. Data Engineering
4. Data Unification
5. Data Analysis

For Tableau dashboards produced, please see my Tableau Public profile: public.tableau.com/profile/edd.webster.

Examples dashboards:

• 2018 FIFA Men's World Cup
• FA WSL
• ‘Big 5’ European leagues
• EFL
• StrataBet Chance creation

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

Power BI

Databricks

Airflow

AWS

Docker

• Edd Webster: From Man City to Lego
• Leicester hire Lego's Webster to build data science capabilities

• SQL Masterclass

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

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