DataMetricus Consultancy
I offer quantitative consultancy and training through DataMetricus, bringing together actuarial methods, statistics, health metrics, and reproducible research in R and Python.
How I can help
- Statistical and actuarial modelling: develop and review analytical methods, assumptions, and results.
- Health metrics: work with population health indicators, mortality, and disease burden.
- Reproducible research: connect data preparation, analysis, visualisation, and reporting in documented workflows.
- Training: help analysts and research teams build practical skills in R, Python, and reproducible methods.
AI and workflow automation
Workflow automation connects recurring tasks so they can be repeated consistently. AI can assist with selected steps, such as organising information or preparing a first draft, while statistical checks and human review remain part of the process.
For example, a research-monitoring workflow can collect updates from selected sources, organise them by topic, and prepare a reading list for review. The goal is to reduce repetitive handling while keeping sources and decisions traceable.
Discuss a project
Visit DataMetricus for services and project enquiries. A short description of your question, available data, and intended output is a useful starting point.