Senior Data Scientist with 20+ years of experience applying machine learning, statistical modelling, and Python analytics to complex datasets.

• Machine Learning: Designed and evaluated supervised models to identify rare classes within highly imbal- anced, noisy datasets using Python (scikit-learn, TensorFlow). Emphasised uncertainty quantification and decision-threshold optimisation under real-world constraints.

• Deep Learning Regression for Continuous Parameter Estimation: Developed neural network models to estimate continuous target variables from high- dimensional inputs. Implemented end-to-end pipelines covering data pre-processing, training, validation, and uncertainty assessment.

• Statistical Experimentation & A/B Testing Tooling: Built reusable Python tools implementing hypothesis testing, confidence intervals and A/B testing workflows applicable to product, marketing and business analytics contexts.

• Data Visualisation: Developed applications for exploring high‑dimensional astrophysical and experimental datasets.