I am a Process Engineer and Plant Metallurgist working at the intersection of mineral processing, operational excellence, and data science.
My work focuses on transforming plant data into actionable insights that improve throughput, recovery, process stability, and operating efficiency. I develop practical analytics solutions that support decision-making in production environments, from daily operational reporting to advanced modelling and optimisation.
- Python applications for production tracking, metal accounting, and process monitoring
- Data pipelines that automate reporting and improve data visibility
- Power BI dashboards for KPI tracking, performance analysis, and operational decision support
- Statistical and machine learning models for process optimisation and forecasting
- Tools that improve data integrity, reconciliation, and plant performance monitoring
- Machine learning in mineral processing
- Process optimisation and operational analytics
- Production forecasting and variability analysis
- Metal accounting and reconciliation systems
- Industrial data platforms and lightweight decision-support applications
- Advanced process control and digital transformation in mining
- Building industrial analytics tools for mineral processing operations
- Applying machine learning to metallurgical process optimisation
- Developing production forecasting and metal accounting solutions
- Exploring advanced process control and digital plant optimisation
Coming soon...
- Production Tracking & Reconciliation Tools
- Metal Accounting Validation Systems
- Mineral Processing Analytics Dashboards
- Process Optimisation Applications
- MSc Research: Voice-Based Clinical Decision Support Using Transfer Learning