
Science Tutor delivering AQA GCSE Combined Science (Foundation), focused on building confidence and helping learners achieve pass outcomes. Experienced in supporting SEN and low-confidence students through clear explanations, positive relationships and engaging lesson delivery. Strong technical and data skills that support wider professional responsibilities.
Machine Learning Applications – Personal Project (Dec 2023)
• Built regression, clustering, and classification models for real-world datasets (housing, health, sports) using Python
• Improved house-price model performance to R² 0.85 through feature engineering
• Achieved 89% accuracy in NBA career prediction using neural networks
• Delivered insights visually to support decision-making
Breast Cancer Prediction – MSc Dissertation (Oct 2024)
• Developed Logistic Regression, Random Forest & SVM models for survival prediction
• Best performance: 91% accuracy (Logistic Regression) with strong interpretability
• Analysed fairness and identified performance differences across demographic groups
UK Census Data Insights – Data Visualisation Project (Jan 2024)
• Explored relationships between income, age, education & marital status
• Created clear visual narratives to support socioeconomic insight and policy relevance
Blood Bank Database System – SQL Project (Oct 2023)
• Designed and queried a database for blood inventory and donor management
• Built ER diagrams and SQL workflows for operational tracking and reporting