02 / analytical philosophy
This is not a résumé. It is a model of the system behind it.
A résumé lists outcomes. The work behind it is a chain: experience becomes skill, skill becomes projects, projects need evidence, evidence becomes models, models produce results — and results feed back into the next model.
03 / signals
Model status · liveThe evidence, in numbers.
Figures marked “reported” are self-reported project outcomes.
04 / career evolution
From statistics to decision intelligence.
Each stage builds on the one before it. Depth is a qualitative scale of how far the practice extends — not a score.
05 / case studies
Each case is an investigation, not a story.
Seven steps from data to feedback. Diagrams show the structure of the problem — they are not project data.
06 / capabilities
Six disciplines, one system.
Hover a discipline to see the shape of its thinking. The drawings are illustrations of the method, not results.
07 / where I add value
The conditions this work is built for.
Not a skills wall — the six situations where a finance function usually needs a model rather than another report.
08 / tools & standards
Four layers between data and decision.
09 / professional ecosystem
Business environments worked across.
Listed to show the range of operating contexts — not as endorsements.
10 / leadership & transformation
Four kinds of leadership evidence.
11 / quantitative foundation
Statistics first. Everything else is built on it.
The path starts with probability and inference. That footing is why forecasts here carry a range rather than a single number, and why costs are treated as relationships instead of lines on a sheet.
12 / decision intelligence method
One loop, closed by feedback.
Every model in this portfolio follows the same cycle. Select a stage to see what it asks of the analysis.