{
  "schemaVersion": 1,
  "lastVerified": "2026-09-24",
  "name": "Portfolio evidence score",
  "purpose": "A transparent measure of how strongly the public portfolio and documented paid work support each role; it is not a hiring guarantee.",
  "certificationsIncluded": false,
  "weights": {
    "paidWorkEvidence": 0.35,
    "publicArtifactEvidence": 0.30,
    "roleRequirementCoverage": 0.20,
    "validationAndReproducibility": 0.15
  },
  "roles": [
    {
      "role": "Data Analyst",
      "score": 9.6,
      "evidence": ["paid cross-functional analysis", "SQL and Python", "Power BI ownership", "public decision products"]
    },
    {
      "role": "BI / Power BI Developer",
      "score": 9.5,
      "evidence": ["paid semantic-model and DAX ownership", "RLS and incremental refresh", "versioned PBIP/TMDL reports", "cross-tool tie-outs"]
    },
    {
      "role": "Supply Chain & Operations Analyst",
      "score": 9.5,
      "evidence": ["paid perishable-goods operations analytics", "ERP/POS/WMS/workforce integration", "OTIF, FEFO and vendor scorecards", "forecasting and inventory-policy products"]
    },
    {
      "role": "Business Analyst",
      "score": 9.3,
      "evidence": ["paid requirements and adoption work", "traceability and UAT", "process maps and business cases", "decision-ready scenario models"]
    },
    {
      "role": "Data Engineer",
      "score": 9.3,
      "evidence": ["paid Fabric/ADF/Synapse ELT", "source-system integration", "tested medallion pipelines", "contracts, quarantine and cutover controls"]
    },
    {
      "role": "Analytics Engineer",
      "score": 9.2,
      "evidence": ["paid dimensional and semantic modelling", "dbt contracts and unit tests", "MetricFlow metrics", "source-contract and schema-drift controls"]
    },
    {
      "role": "Financial Analyst",
      "score": 9.2,
      "evidence": ["paid GL/P&L reconciliation", "AP/AR and working capital", "variance and margin analysis", "three tested Excel finance models"]
    },
    {
      "role": "Data Scientist",
      "score": 9.0,
      "evidence": ["paid production forecasting", "out-of-time ML evaluation", "causal experiment design", "anomaly, survival and LLM assurance work"]
    }
  ]
}