My Experience
- Authoring two journal papers based on NDT (Non-Destructive Testing); developing MEng thesis for publication.
- Researching tribological performance and wear prediction using NDT data.
- Working with six industrial partners to analyse lubricant performance under simulated forming conditions, including Apple and Schuler.
- Leading independent system upgrades, including heating and ventilation enhancements.
- Supported liquid-cooling layouts for Microsoft and Google data centres.
- Drafted AutoCAD piping for a 16-rack system, reducing design iterations by 30%.
- Automated PUE reporting in VBA, cutting manual updates by 75%.
- Developed linear and multivariate regression models in Python (scikit-learn), achieving R² = 0.82.
- Reduced multicollinearity by 65% using VIF-based feature selection on a 398-entry dataset.
- Improved training efficiency by 30% without loss of accuracy.
