Independent ML Researcher | Data Scientist | Machine Learning Engineer | Business Analytics Graduate
Data Scientist and ML Researcher focused on building interpretable, responsible AI for real world impact. MSc Business Analytics & International Business (University of Dundee). Four peer reviewed preprints in clinical and health informatics. Currently building a research portfolio in causal ML for climate prediction, alongside deep learning projects spanning computer vision and NLP.
- Causal ML for Climate — PCMCI causal discovery, trend break detection, and causally informed Arctic sea ice prediction
- Interpretable ML — SHAP, Grad-CAM, explainability pipelines
- Computer Vision — transfer learning, satellite wildfire classification, coral reef health classification, skin lesion classification (CNN)
- NLP & Ethical AI — sentiment analysis (RNN), bias detection, text analysis at scale
- Clinical & Predictive AI — clinical RAG for Parkinson's, clinical risk stratification, churn modelling, survival analysis
- Research — 4 DOI indexed preprints on Zenodo
Core Competencies:
- Data Analysis & Visualization
- Machine Learning & Predictive Modelling
- Causal Inference & Explainable AI
- Business Intelligence & Dashboard Development
- Process Optimization & Workflow Mapping
- Cross functional Collaboration
