{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Redrob Candidate Profile Schema",
  "description": "Schema for a single candidate profile in the Intelligent Candidate Discovery & Ranking Challenge dataset.",
  "type": "object",
  "required": [
    "candidate_id",
    "profile",
    "career_history",
    "education",
    "skills",
    "redrob_signals"
  ],
  "properties": {
    "candidate_id": {
      "type": "string",
      "pattern": "^CAND_[0-9]{7}$",
      "description": "Unique identifier for the candidate. Format: CAND_XXXXXXX (7 digits)."
    },
    "profile": {
      "type": "object",
      "required": [
        "anonymized_name",
        "headline",
        "summary",
        "location",
        "country",
        "years_of_experience",
        "current_title",
        "current_company",
        "current_company_size",
        "current_industry"
      ],
      "properties": {
        "anonymized_name": { "type": "string", "description": "Anonymized full name." },
        "headline": { "type": "string", "description": "One-line professional headline." },
        "summary": { "type": "string", "description": "Multi-sentence professional summary." },
        "location": { "type": "string", "description": "City, region/state." },
        "country": { "type": "string" },
        "years_of_experience": { "type": "number", "minimum": 0, "maximum": 50 },
        "current_title": { "type": "string" },
        "current_company": { "type": "string" },
        "current_company_size": {
          "type": "string",
          "enum": ["1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+"]
        },
        "current_industry": { "type": "string" }
      }
    },
    "career_history": {
      "type": "array",
      "minItems": 1,
      "maxItems": 10,
      "items": {
        "type": "object",
        "required": ["company", "title", "start_date", "end_date", "duration_months", "is_current", "industry", "company_size", "description"],
        "properties": {
          "company": { "type": "string" },
          "title": { "type": "string" },
          "start_date": { "type": "string", "format": "date" },
          "end_date": { "type": ["string", "null"], "format": "date" },
          "duration_months": { "type": "integer", "minimum": 0 },
          "is_current": { "type": "boolean" },
          "industry": { "type": "string" },
          "company_size": {
            "type": "string",
            "enum": ["1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+"]
          },
          "description": { "type": "string", "description": "Role responsibilities and achievements." }
        }
      }
    },
    "education": {
      "type": "array",
      "minItems": 0,
      "maxItems": 5,
      "items": {
        "type": "object",
        "required": ["institution", "degree", "field_of_study", "start_year", "end_year"],
        "properties": {
          "institution": { "type": "string" },
          "degree": { "type": "string" },
          "field_of_study": { "type": "string" },
          "start_year": { "type": "integer", "minimum": 1970, "maximum": 2030 },
          "end_year": { "type": "integer", "minimum": 1970, "maximum": 2035 },
          "grade": { "type": ["string", "null"], "description": "GPA / percentage / class." },
          "tier": {
            "type": "string",
            "enum": ["tier_1", "tier_2", "tier_3", "tier_4", "unknown"],
            "description": "Internal tiering for institution prestige."
          }
        }
      }
    },
    "skills": {
      "type": "array",
      "minItems": 0,
      "items": {
        "type": "object",
        "required": ["name", "proficiency", "endorsements"],
        "properties": {
          "name": { "type": "string" },
          "proficiency": {
            "type": "string",
            "enum": ["beginner", "intermediate", "advanced", "expert"]
          },
          "endorsements": { "type": "integer", "minimum": 0 },
          "duration_months": { "type": "integer", "minimum": 0, "description": "Months the candidate has used this skill" }
        }
      }
    },
    "certifications": {
      "type": "array",
      "items": {
        "type": "object",
        "required": ["name", "issuer", "year"],
        "properties": {
          "name": { "type": "string" },
          "issuer": { "type": "string" },
          "year": { "type": "integer" }
        }
      }
    },
    "languages": {
      "type": "array",
      "items": {
        "type": "object",
        "required": ["language", "proficiency"],
        "properties": {
          "language": { "type": "string" },
          "proficiency": {
            "type": "string",
            "enum": ["basic", "conversational", "professional", "native"]
          }
        }
      }
    },
    "redrob_signals": {
      "type": "object",
      "description": "Simulated platform activity and engagement signals from the Redrob ecosystem.",
      "required": [
        "profile_completeness_score",
        "signup_date",
        "last_active_date",
        "open_to_work_flag",
        "profile_views_received_30d",
        "applications_submitted_30d",
        "recruiter_response_rate",
        "avg_response_time_hours",
        "skill_assessment_scores",
        "connection_count",
        "endorsements_received",
        "notice_period_days",
        "expected_salary_range_inr_lpa",
        "preferred_work_mode",
        "willing_to_relocate",
        "github_activity_score",
        "search_appearance_30d",
        "saved_by_recruiters_30d",
        "interview_completion_rate",
        "offer_acceptance_rate",
        "verified_email",
        "verified_phone",
        "linkedin_connected"
      ],
      "properties": {
        "profile_completeness_score": {
          "type": "number",
          "minimum": 0,
          "maximum": 100,
          "description": "Percentage of profile completeness."
        },
        "signup_date": { "type": "string", "format": "date" },
        "last_active_date": { "type": "string", "format": "date" },
        "open_to_work_flag": { "type": "boolean" },
        "profile_views_received_30d": { "type": "integer", "minimum": 0 },
        "applications_submitted_30d": { "type": "integer", "minimum": 0 },
        "recruiter_response_rate": {
          "type": "number",
          "minimum": 0,
          "maximum": 1,
          "description": "Fraction of recruiter messages the candidate has responded to."
        },
        "avg_response_time_hours": { "type": "number", "minimum": 0 },
        "skill_assessment_scores": {
          "type": "object",
          "description": "Dict of skill_name -> score 0-100. Assessments completed on Redrob platform.",
          "additionalProperties": { "type": "number", "minimum": 0, "maximum": 100 }
        },
        "connection_count": { "type": "integer", "minimum": 0 },
        "endorsements_received": { "type": "integer", "minimum": 0 },
        "notice_period_days": { "type": "integer", "minimum": 0, "maximum": 180 },
        "expected_salary_range_inr_lpa": {
          "type": "object",
          "required": ["min", "max"],
          "properties": {
            "min": { "type": "number", "minimum": 0 },
            "max": { "type": "number", "minimum": 0 }
          },
          "description": "Expected salary in INR Lakhs Per Annum."
        },
        "preferred_work_mode": {
          "type": "string",
          "enum": ["remote", "hybrid", "onsite", "flexible"]
        },
        "willing_to_relocate": { "type": "boolean" },
        "github_activity_score": {
          "type": "number",
          "minimum": -1,
          "maximum": 100,
          "description": "0-100 score based on commits, PRs, stars in last 12 months. -1 if no GitHub linked."
        },
        "search_appearance_30d": {
          "type": "integer",
          "minimum": 0,
          "description": "Number of times profile appeared in recruiter searches in last 30 days."
        },
        "saved_by_recruiters_30d": {
          "type": "integer",
          "minimum": 0,
          "description": "Number of recruiters who saved this profile in last 30 days."
        },
        "interview_completion_rate": {
          "type": "number",
          "minimum": 0,
          "maximum": 1,
          "description": "Fraction of scheduled interviews actually attended."
        },
        "offer_acceptance_rate": {
          "type": "number",
          "minimum": -1,
          "maximum": 1,
          "description": "Historical offer acceptance rate. -1 if no offer history."
        },
        "verified_email": { "type": "boolean" },
        "verified_phone": { "type": "boolean" },
        "linkedin_connected": { "type": "boolean" }
      }
    }
  }
}