Data Scientist | Data Analyst | Applied AI

MSc Data Analytics graduate with a Distinction from Queen Mary University of London and a BSc in Data Science & Analytics. I build data-driven solutions using Python, SQL, machine learning and visualisation, with a focus on clear evaluation and practical decision-making.

• Machine Learning and Predictive Modelling
• Customer and Commercial Analytics
• Recommendation Systems
• Deep Learning and Computer Vision
• Data Visualisation and Business Intelligence
• Responsible Model Evaluation

• Languages: Python, SQL, R
• Data and Machine Learning: Pandas, NumPy, scikit-learn, PyTorch, TensorFlow/Keras, SAS Viya
• Analytics and Visualisation: Tableau, Power BI, PostgreSQL, SQLite
• Workflow: Git, Jupyter Notebook, Google Colab

I am building a public portfolio of documented end-to-end projects, including:

• Recommendation Systems: Matrix Factorisation vs Deep Learning
• Bank Customer Churn Prediction
• Student Outcome Prediction
• Computer Vision Image Classification
• IoT Botnet Detection
• Business Intelligence and SQL Analytics

See my pinned repositories below for code, documentation and results.