{
  "id": "skill-area:feature-engineering",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/skill-areas-technical-depth.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Feature Engineering",
    "description": "Transforming raw data into predictive features — encoding\nstrategies, feature selection, dimensionality reduction, feature\nstores (Feast, Tecton), and automated feature generation. Covers\ndomain-specific feature design and feature drift monitoring.\n",
    "domains": [
      "specialization:data-science-ml"
    ],
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:feature-engineering",
      "to": "specialization:data-science-ml",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:feature-engineering",
      "to": "skill-area:model-evaluation",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "required"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:data-analysis",
      "to": "skill-area:feature-engineering",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "required"
      }
    },
    {
      "from": "skill-area:feature-engineering-production",
      "to": "skill-area:feature-engineering",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "specialization:recommendation-infrastructure",
      "to": "skill-area:feature-engineering",
      "kind": "contains"
    },
    {
      "from": "specialization:fraud-prevention",
      "to": "skill-area:feature-engineering",
      "kind": "contains"
    },
    {
      "from": "stack-profile:python-ml-stack",
      "to": "skill-area:feature-engineering",
      "kind": "requires_skill_area"
    },
    {
      "from": "lib-agent:ai-agents-conversational--entity-extraction-specialist",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-agent:ai-agents-conversational--user-profile-builder",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-agent:data-engineering-analytics--ml-feature-engineer",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-agent:data-science-ml--feature-engineer",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-agent:data-science-ml--feature-store-engineer",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:ai-agents-conversational--rag-embedding-generation",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-skill:ai-agents-conversational--spacy-ner",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-skill:data-engineering-analytics--feature-engineering-optimizer",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--feast-feature-store",
      "to": "skill-area:feature-engineering",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "role:applied-scientist",
      "to": "skill-area:feature-engineering",
      "kind": "requires_expertise",
      "attributes": {}
    }
  ]
}