Most analytics work stops at the dashboard. The dashboard reports a number; it does not produce a decision. The gap between seeing a number and acting on it is not a tooling problem — it is an architecture problem.

This portfolio is the executable proof of that thesis. Each repository demonstrates one part of the system that connects raw data to a business decision: governed foundations, reusable metrics, AI workflows that assist judgment without replacing it, evaluation that keeps those workflows honest, and the governance that makes the whole thing trustworthy.

The role this work defines — the Decision-System Architect — is the subject of The Analytics System. The book defines the role. This portfolio shows it in practice.

The repositories progress from data foundations, to AI workflows, to decision systems. Read in order, they trace a single argument: I understand the data → I model business problems → I apply AI with judgment → I evaluate it responsibly → I connect it to decisions and ROI.

Accessible labs that open onto enterprise decision systems. Each entry-point lab links to its enterprise counterpart — the same problem, reframed the way a Decision-System Architect would face it in production.

Turning AI from a demo into a usable business workflow.

rag-knowledge-assistant-lab · llm-evaluation-lab · ai-roi-calculator · ai-text-classification-lab

The work that makes this portfolio unmistakably mine.

decision-intelligence-canvas · semantic-metrics-mini-layer · responsible-ai-risk-template · pricing-affordability-lab

fmcg-price-intelligence — an autonomous revenue-growth-management price-intelligence pipeline. Built to a zero-cost constraint, documented with honest engineering trade-offs, with a live dashboard. The standard every other repository here is held to.

The market is moving away from the task-based data scientist — build dashboard, hand over notebook, hope for adoption — toward the architect who designs the operating system around a decision. These repositories are built in that second mode: an AI + Data Science Systems Builder's toolkit, in service of decision architecture.

Map the business decision
  → design the governed data foundation
  → build reusable, documented metrics
  → add the AI-assisted workflow
  → evaluate the model's outputs
  → keep humans in the loop
  → measure the ROI
  → improve the system around the decision