Data Scientist | Machine Learning Engineer | Data Analyst | Predictive Analytics & BI
Welcome to my GitHub - this is where I build and share the projects behind my work in machine learning, data analysis, and business intelligence.
I'm a Data Scientist with an MSc in Data Science and a background in Physics, with experience spanning the full data lifecycle from raw, inconsistent datasets to the models and dashboards that decision-makers actually rely on. I've worked as both a Data Analyst and Data Scientist, which means I care equally about the analysis behind a number and the model that predicts the next one.
A few things I've delivered in production: cut manual analyst effort by 60%+, improved data accuracy by up to 35%, reduced reporting latency by 25%, and cut senior leadership's time-to-insight by 40%.
I care most about the unglamorous part of data work, clean pipelines, validated inputs, and models that hold up outside a notebook.
- Data Analysis: SQL-based data modelling, KPI frameworks, and root-cause investigation across 1M+ row datasets
- Machine Learning: Classification, regression, ensemble methods, and NLP using scikit-learn, PyTorch, XGBoost, and LightGBM
- Data Engineering: ETL pipeline design, data validation, and workflow automation in Python and SQL
- Data Visualization: Dashboards and reporting in Power BI and Tableau
- SQL & Data Modelling: Relational data modelling and query optimisation in PostgreSQL and MySQL
