Hi, I'm Martin MacFeliks

Predictive sports analytics with real-world data—modeling player and team performance using statistics and machine learning.

View Specialisation Modules

Foundations

Complete

Moneyball & Beyond

Complete

Prediction Models

Complete

Wearables & Analytics

Complete

Intro to ML in Sports

In progress

Focus on data science, AI/ML, and production-ready workflows.

View Completed Modules

• Digital Media Technologies
• Foundation Computing
• Foundation Mathematics
• Group Technology Project
• Individual Degree Related Project
• Introduction to Databases
• Data Analysis, Tools and Application
• Introduction to Networks and Security
• Problem Solving with C
• Problem Solving through Programming with Python
• (UX) User Experience (QHO428)
• Web Technologies

Building a sports analytics platform that turns event and player data into clear, actionable insights for fans.

• Implementing the data pipeline (ingestion → cleaning → feature engineering) and training and validating predictive models with transparent evaluation.
• Shipping gambleology.co.uk end-to-end—responsive UI, content system, deployment, analytics, and SEO.
• Producing learning modules on uncertainty and risk control to support safer, data-driven decisions.

Running a YouTube channel with a companion site that turns data-science topics into practical, reproducible workflows.

• Publishing tutorials on data science, ML, and coding—providing notebooks, starter repos, and concise walkthroughs.
• Building the companion site (aigeeklabs.co.uk): landing pages, CMS, email capture, and analytics; packaging content into downloadable kits and mini-courses.