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Although a little out of date now (with code I would dearly like to refactor), the code in my football_analytics GitHub repository can be found in the notebooks subfolder, of which the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:
For Tableau dashboards produced, please see my Tableau Public profile: public.tableau.com/profile/edd.webster.
Examples dashboards:
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 |
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:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent