
UK Census Socio-Economic Analysis
Bayesian Ridge imputation for 31 LADs, UMAP/t-SNE + KMeans, interactive Tableau dashboards across 2011 vs 2021.
MSc Data Science @ University of Bristol ’25 • AI/ML Research Support (NIHR/NHS) • Python · R · AWS · Tableau · Flutter
I’m a data scientist focused on building socially impactful AI. At the University of Bristol, I support an NIHR/NHS project co-designing an AI algorithm and a cross-platform Flutter app for personalised stroke rehabilitation. My background spans healthcare analytics, socio-economic modelling with UK census data, and physics-informed deep learning for EMI prediction.
Bayesian Ridge imputation for 31 LADs, UMAP/t-SNE + KMeans, interactive Tableau dashboards across 2011 vs 2021.
Oct–Dec 2025 • Leadership & future-skills program.
Sept 2025 • Presented stroke rehab AI work.
2025 • Employability & leadership recognition.
TensorFlow, Keras, scikit-learn, NLP (BERT, BiLSTM), Bayesian modelling
Pandas, NumPy, ETL, SQL, Power Automate, SAP integration
AWS (EC2, Lambda, S3, DynamoDB), Docker, Node-RED, Grafana
Tableau, Power BI, Matplotlib, Seaborn, React, Angular, Flutter