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adam-lea/README.md

Hi, I'm Adam 👋

🎓 BSc Artificial Intelligence Graduate from Liverpool Hope University

I'm an Artificial Intelligence graduate with an interest in machine learning, predictive modelling and data science. I enjoy building end-to-end AI systems, from data engineering and feature engineering through to model training, evaluation and deployment.

🛠️ Technologies

🚀 Featured Project

⚽ Football Match Prediction AI

Machine learning research assessing the predictive accuracy of neural networks and statistical models for Premier League football match prediction.

Highlights

  • 🧠 Ensemble Neural Network built with PyTorch
  • 📊 Poisson Goal Model
  • 📈 Logistic Regression baseline
  • ⚙️ Advanced feature engineering
  • ⚖️ Performance comparison against Bet365 probabilities
  • 📚 Trained and evaluated using over 4,000 Premier League matches

Tech Stack

Python • PyTorch • Scikit-learn • Pandas • NumPy

Repository

➡️ https://github.com/adam-lea/football-match-prediction-ai

📫 Connect with me

LinkedIn

Pinned Loading

  1. football-match-prediction-ai football-match-prediction-ai Public

    Assessing the predictive accuracy of AI and statistical models for Premier League football match prediction.

    Python 2

  2. traffic-sign-recognition-system traffic-sign-recognition-system Public

    Traffic sign recognition system using a CNN trained on the GTSRB dataset with a Flask backend and real-time browser-based inference.

    HTML

  3. cnn-image-classification-comparison cnn-image-classification-comparison Public

    Comparison of Baseline CNN, ResNet-style CNN and MobileNetV2 for CIFAR-10 image classification using TensorFlow/Keras.

    Python

  4. emotion-detection-social-media emotion-detection-social-media Public

    Comparison of TF-IDF + Linear SVM and DistilRoBERTa for multi-label emotion detection using the GoEmotions dataset.

    Python