I'm a software engineer transitioning into football analytics, with a background in computer science and experience working with Python, data analysis, and applied AI.

My work focuses on using data to answer practical football questions, particularly in areas such as player analysis, recruitment, and performance evaluation.

I also work on football analytics projects using real-world and open data, including event data, machine learning, and data-driven player profiling.

My courses are designed to make football analytics practical and accessible. Rather than focusing on theory alone, we'll work with real football data and use Python to answer concrete questions step by step.

If you're interested in learning football analytics by actually building things, you're in the right place.