Data-focused researcher with 20+ years of experience applying machine learning, statistical modelling, Python-based data analysis, and quantitative problem‑solving to large, complex datasets. Strong communicator with extensive experience leading analytical projects, mentoring teams, and delivering clear insights to technical and non‑technical audiences.
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Machine Learning Classification of Galaxies: Built ML models (sklearn, tensorflow) to classify galaxy properties from multi‑feature datasets. Improved prediction accuracy vs. baseline models and delivered interpretable insights for scientific users.
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Neural Network Redshift Estimation: Designed and trained deep learning models to estimate galaxy redshifts, replacing manual feature‑driven estimation with automated approaches.
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A/B Testing & Statistical Tooling: Wrote Python tools implementing A/B testing, confidence intervals and hypothesis testing suitable for product, marketing, or business analytics contexts.
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Data Visualisation: Developed applications for exploring high‑dimensional astrophysical and experimental datasets.
| Technical Skills | Soft Skills | Python | Other languages | Documentation |
|---|---|---|---|---|
| Data Analysis | Team Leadership | dash | C | HTML |
| Machine Learning | Project Management | jupyter | IDL | Latex |
| Neural Networks | Teaching & Supervision | matplotlib | PHP | Markdown |
| Data Visualisation | Science Communication | numpy | SQL | dashboards |
| Statistical Analysis | Public Speaking | pandas | Shell scripting | Office |
| Scientific Research | TV and Radio | scikit-learn | Pgplot | |
| Simulations | International Collaboration | tensorflow | Gnuplot |
