Data scientist focused on quantitative finance and machine learning. MSc Data Science & Analytics (Cardiff University) · BSc Computer Engineering. Former technical writer and published author of a Python programming book. What I build: research systems that are hard to fool — point-in-time data, pre-registered hypotheses, honest out-of-sample tests — and ML models evaluated the way they would actually be used.
- Systematic trading research — paper-trading bot on GitHub Actions + Alpaca with a deterministic risk veto; every strategy pre-registered and tested once (deflated Sharpe, permutation tests).
- Monetary policy dashboard — policy responses to the 2021–23 inflation shock across 7 economies.
- Lung sound classification — patient-aware evaluation of SVM, CNN, CRNN and ResNet18 on ICBHI 2017.
- Hate speech detection — TF-IDF vs BiLSTM vs fine-tuned RoBERTa, with a lexical-bias analysis.
Python · pandas · NumPy · SciPy · scikit-learn · PyTorch · SQL · Power BI · GitHub Actions · Linux (LPIC-1) · WorldQuant IQC 2026
📍 Cardiff, UK — open to data science and quant roles across the UK and Europe · LinkedIn