Postgraduate Diploma in Data Analytics
First in class · 92%Advanced data analysis, machine learning, statistical reasoning and applied research.
04 · Research & education
My academic work sits at the intersection of applied statistics, data analytics, technology and real operational questions.
Unpublished research paper
This work reflects my interest in robust statistical methods and the consequences analytical choices can have when data is used to support environmental or operational decisions.
Research interests
My interests include statistical rigour, dependable inference, resampling methods, model evaluation, environmental data and the responsible application of artificial intelligence.
I am particularly interested in work where methodological choices affect real conclusions—such as identifying unusual observations, evaluating model performance or separating a genuine pattern from an artefact of the analysis.
Qualifications
Advanced data analysis, machine learning, statistical reasoning and applied research.
Strategy, operations, risk, competitive intelligence and organisational decision-making.
Industrial instrumentation, automation, calibration, maintenance, process control and troubleshooting.
Continuing development
Foundational short courses
GitHub
Avallain