{
  "metadata": {
    "schema_version": "1.0.0",
    "profile_id": "02-06",
    "created_at": "2026-09-22",
    "as_of_date": "2026-09-22",
    "record_kind": "fictional_sample",
    "verification_status": "not_verified",
    "is_real_person_record": false,
    "disclaimer": "Fictional demonstration candidate. All employers, education, projects, achievements and outcomes are illustrative and unverified. Not a real application or licence record.",
    "source_basis": {
      "biography": "original synthetic example",
      "structure_reference": "sr-software-engineer-fullstack-angular-react-nodejs.pdf",
      "reference_used_for": "section hierarchy and visual direction only; no Ajay Prajapat biographical claims copied",
      "web_reference": "https://kyros.on3-step.com/homereveal",
      "web_reference_status": "requested inspiration; live JavaScript visual layout could not be independently rendered"
    },
    "category": {
      "id": 2,
      "name": "AI, Data & Analytics",
      "role_index": 6,
      "role_title": "Business Intelligence Analyst"
    },
    "publishing": {
      "search_indexing": false,
      "external_contact_enabled": false,
      "real_credentials_required_before_publication": true
    }
  },
  "basics": {
    "name": "Tara Mehta",
    "headline": "Business Intelligence Analyst",
    "specialisation": "Power BI, Tableau, SQL",
    "location": {
      "city": "Kochi",
      "country": "India"
    },
    "contact": {
      "email": "tara.mehta@example.com",
      "phone": null,
      "website": null,
      "linkedin": null,
      "portfolio_url": null,
      "contact_status": "placeholder_not_for_contact"
    },
    "career_start_date": "2015-07-01",
    "experience_years": 11,
    "seniority": "experienced specialist",
    "languages": [
      {
        "language": "English",
        "proficiency": "professional working - fictional sample"
      },
      {
        "language": "Hindi",
        "proficiency": "professional working - fictional sample"
      }
    ],
    "work_preferences": {
      "arrangement": "hybrid; remote feasibility discussed per role",
      "relocation": "open to discussion - sample preference",
      "availability": "not confirmed; discuss before an interview",
      "employment_interest": [
        "full-time",
        "defined project or fixed-term work where appropriate"
      ]
    }
  },
  "executive_summary": [
    "Business Intelligence Analyst with an illustrative 11-year career in analytics, decision support and applied machine learning. Combines power bi, tableau, sql with disciplined documentation, practical coordination and clear communication. The sample career progresses from focused execution to independent workstream ownership, with responsibilities and boundaries described for each appointment.",
    "Selected work includes shared performance scorecard, regional operations dashboard and self-service analytics rollout. These examples explain the original problem, individual contribution, deliverables, review approach and remaining limitations rather than relying on unsupported headline claims.",
    "Prepared for experienced business intelligence analyst opportunities requiring dependable delivery, thoughtful professional judgement and collaboration. The qualification narrative includes MBA in Business Analytics. Every named organisation and outcome in this record is fictional; professional eligibility is not independently established."
  ],
  "professional_mission": "Turn a clear brief into dependable analytics, decision support and applied machine learning work: understand the context, apply power bi and tableau, record the evidence and explain the limitations before handover.",
  "core_competencies": [
    {
      "name": "Power BI",
      "level": "advanced practice - illustrative",
      "application": "Applied to shared performance scorecard through documented preparation, execution and review.",
      "evidence_project_id": "P1"
    },
    {
      "name": "Tableau",
      "level": "advanced practice - illustrative",
      "application": "Applied to regional operations dashboard through documented preparation, execution and review.",
      "evidence_project_id": "P2"
    },
    {
      "name": "SQL",
      "level": "advanced practice - illustrative",
      "application": "Applied to self-service analytics rollout through documented preparation, execution and review.",
      "evidence_project_id": "P3"
    },
    {
      "name": "semantic modelling",
      "level": "advanced practice - illustrative",
      "application": "Applied to shared performance scorecard through documented preparation, execution and review.",
      "evidence_project_id": "P1"
    },
    {
      "name": "DAX",
      "level": "advanced practice - illustrative",
      "application": "Applied to regional operations dashboard through documented preparation, execution and review.",
      "evidence_project_id": "P2"
    },
    {
      "name": "requirements analysis",
      "level": "advanced practice - illustrative",
      "application": "Applied to self-service analytics rollout through documented preparation, execution and review.",
      "evidence_project_id": "P3"
    },
    {
      "name": "data governance",
      "level": "advanced practice - illustrative",
      "application": "Applied to shared performance scorecard through documented preparation, execution and review.",
      "evidence_project_id": "P1"
    },
    {
      "name": "executive reporting",
      "level": "advanced practice - illustrative",
      "application": "Applied to regional operations dashboard through documented preparation, execution and review.",
      "evidence_project_id": "P2"
    }
  ],
  "specialist_practice": {
    "title": "Evaluation and data stewardship",
    "summary": "Examples use synthetic or permissioned data; no claim is made that a model is safe for an untested population.",
    "working_principles": [
      "Define the decision, data lineage and evaluation boundary before choosing a method.",
      "Separate development, validation and holdout data and record known failure modes.",
      "Document uncertainty, monitoring ownership and human review for consequential uses."
    ],
    "tools_and_methods": [
      "Power BI",
      "Tableau",
      "SQL",
      "semantic modelling",
      "DAX",
      "requirements analysis",
      "data governance",
      "executive reporting"
    ],
    "professional_scope": "The sample focuses on power bi, tableau, sql. Approvals, supervision and specialist input are identified in each work package; work outside this scope is referred to the designated responsible person."
  },
  "projects": [
    {
      "id": "P1",
      "title": "Shared performance scorecard",
      "category": "Power BI",
      "organisation": "Meridian Analytics Research (fictional)",
      "employment_id": "EXP-4",
      "start_date": "2025-01-01",
      "end_date": "2025-06-30",
      "project_context": "Fictional internal work programme in analytics, decision support and applied machine learning; not a real client case study.",
      "problem": "Executives interpreted measures differently.",
      "objective": "Create a workable response to this issue through power bi, explicit review criteria and practical documentation. Agree the boundaries before execution and retain unresolved points for follow-up.",
      "role_and_ownership": "Business Intelligence Analyst; owned the stated workstream, not the full organisation or every collaborator contribution.",
      "contribution": [
        "Built a governed semantic layer and metric glossary.",
        "Prepared the scope with the commissioning team, identified unresolved inputs and used power bi to turn the brief into a sequenced work package.",
        "Applied tableau and sql while coordinating reviews with the designated owner. Kept decision notes so collaborators could separate facts, assumptions and changes.",
        "Assembled the handover material, explained open limitations and agreed which items needed further review rather than presenting them as completed."
      ],
      "methods": [
        "Power BI",
        "Tableau",
        "SQL",
        "semantic modelling"
      ],
      "deliverables": [
        "Shared performance scorecard - scoped brief",
        "Shared performance scorecard - reviewed working package",
        "Shared performance scorecard - handover and learning summary"
      ],
      "review_method": "Reviewed the scoped output against the agreed brief, recorded exceptions and checked that key conclusions could be traced to observations. The review package calls for a data-quality and lineage note and a named human reviewer.",
      "outcomes": [
        "Illustrative outcome: the team adopted a repeatable approach for shared performance scorecard, with clearer ownership and reviewable records. This is a fictional qualitative result; no real performance measurement or external acceptance evidence is supplied."
      ],
      "metrics": [],
      "limitations": "Synthetic demonstration only. Examples use synthetic or permissioned data; no claim is made that a model is safe for an untested population. No underlying client documents, independently verified measurements or signed approval records are attached.",
      "evidence": [
        {
          "id": "E1.1",
          "title": "Shared performance scorecard: data-quality and lineage note",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E1.2",
          "title": "Shared performance scorecard: evaluation protocol",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E1.3",
          "title": "Shared performance scorecard: model or analysis review",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        }
      ],
      "verification_status": "not_verified"
    },
    {
      "id": "P2",
      "title": "Regional operations dashboard",
      "category": "Tableau",
      "organisation": "Meridian Analytics Research (fictional)",
      "employment_id": "EXP-4",
      "start_date": "2026-01-01",
      "end_date": "2026-06-30",
      "project_context": "Fictional internal work programme in analytics, decision support and applied machine learning; not a real client case study.",
      "problem": "Regional managers lacked comparable views.",
      "objective": "Create a workable response to this issue through tableau, explicit review criteria and practical documentation. Agree the boundaries before execution and retain unresolved points for follow-up.",
      "role_and_ownership": "Business Intelligence Analyst; owned the stated workstream, not the full organisation or every collaborator contribution.",
      "contribution": [
        "Standardised filters and documented segment limitations.",
        "Prepared the scope with the commissioning team, identified unresolved inputs and used sql to turn the brief into a sequenced work package.",
        "Applied semantic modelling and dax while coordinating reviews with the designated owner. Kept decision notes so collaborators could separate facts, assumptions and changes.",
        "Assembled the handover material, explained open limitations and agreed which items needed further review rather than presenting them as completed."
      ],
      "methods": [
        "Tableau",
        "SQL",
        "semantic modelling",
        "DAX"
      ],
      "deliverables": [
        "Regional operations dashboard - scoped brief",
        "Regional operations dashboard - reviewed working package",
        "Regional operations dashboard - handover and learning summary"
      ],
      "review_method": "Reviewed the scoped output against the agreed brief, recorded exceptions and checked that key conclusions could be traced to observations. The review package calls for a evaluation protocol and a named human reviewer.",
      "outcomes": [
        "Illustrative outcome: the team adopted a repeatable approach for regional operations dashboard, with clearer ownership and reviewable records. This is a fictional qualitative result; no real performance measurement or external acceptance evidence is supplied."
      ],
      "metrics": [],
      "limitations": "Synthetic demonstration only. Examples use synthetic or permissioned data; no claim is made that a model is safe for an untested population. No underlying client documents, independently verified measurements or signed approval records are attached.",
      "evidence": [
        {
          "id": "E2.1",
          "title": "Regional operations dashboard: data-quality and lineage note",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E2.2",
          "title": "Regional operations dashboard: evaluation protocol",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E2.3",
          "title": "Regional operations dashboard: model or analysis review",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        }
      ],
      "verification_status": "not_verified"
    },
    {
      "id": "P3",
      "title": "Self-service analytics rollout",
      "category": "SQL",
      "organisation": "Northline Analytics Research (fictional)",
      "employment_id": "EXP-3",
      "start_date": "2021-01-01",
      "end_date": "2021-06-30",
      "project_context": "Fictional internal work programme in analytics, decision support and applied machine learning; not a real client case study.",
      "problem": "Business users relied on manual report requests.",
      "objective": "Create a workable response to this issue through sql, explicit review criteria and practical documentation. Agree the boundaries before execution and retain unresolved points for follow-up.",
      "role_and_ownership": "Business Intelligence Analyst; owned the stated workstream, not the full organisation or every collaborator contribution.",
      "contribution": [
        "Created certified example datasets and role-based training.",
        "Prepared the scope with the commissioning team, identified unresolved inputs and used dax to turn the brief into a sequenced work package.",
        "Applied requirements analysis and data governance while coordinating reviews with the designated owner. Kept decision notes so collaborators could separate facts, assumptions and changes.",
        "Assembled the handover material, explained open limitations and agreed which items needed further review rather than presenting them as completed."
      ],
      "methods": [
        "SQL",
        "semantic modelling",
        "DAX",
        "requirements analysis"
      ],
      "deliverables": [
        "Self-service analytics rollout - scoped brief",
        "Self-service analytics rollout - reviewed working package",
        "Self-service analytics rollout - handover and learning summary"
      ],
      "review_method": "Reviewed the scoped output against the agreed brief, recorded exceptions and checked that key conclusions could be traced to observations. The review package calls for a model or analysis review and a named human reviewer.",
      "outcomes": [
        "Illustrative outcome: the team adopted a repeatable approach for self-service analytics rollout, with clearer ownership and reviewable records. This is a fictional qualitative result; no real performance measurement or external acceptance evidence is supplied."
      ],
      "metrics": [],
      "limitations": "Synthetic demonstration only. Examples use synthetic or permissioned data; no claim is made that a model is safe for an untested population. No underlying client documents, independently verified measurements or signed approval records are attached.",
      "evidence": [
        {
          "id": "E3.1",
          "title": "Self-service analytics rollout: data-quality and lineage note",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E3.2",
          "title": "Self-service analytics rollout: evaluation protocol",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        },
        {
          "id": "E3.3",
          "title": "Self-service analytics rollout: model or analysis review",
          "type": "suggested_supporting_artifact",
          "status": "not_supplied",
          "url": null,
          "publication_permission": "not_applicable_to_synthetic_sample"
        }
      ],
      "verification_status": "not_verified"
    }
  ],
  "experience": [
    {
      "id": "EXP-4",
      "position": "Business Intelligence Analyst",
      "career_level": "experienced specialist / workstream owner",
      "organisation": "Meridian Analytics Research (fictional)",
      "location": "Kochi, India",
      "start_date": "2024-07-01",
      "end_date": null,
      "employment_type": "full-time - fictional record",
      "scope": "Independent ownership of scoped business intelligence analyst work, coordinating contributors and making review requirements explicit. Includes the first two selected work examples.",
      "responsibilities": [
        "Built a governed semantic layer and metric glossary.",
        "Standardised filters and documented segment limitations.",
        "Led brief clarification and prioritised work using power bi, tableau and sql. Raised unresolved constraints before committing to the next stage.",
        "Coordinated peer reviews and handover preparation; used a data-quality and lineage note to distinguish completed work, assumptions and follow-up needs.",
        "Supported colleagues with practical examples of semantic modelling and maintained a concise learning record after important assignments."
      ],
      "selected_project_ids": [
        "P1",
        "P2"
      ],
      "result_context": "Illustrative career responsibilities. Employer confirmation and underlying work records are not supplied.",
      "verification_status": "not_verified"
    },
    {
      "id": "EXP-3",
      "position": "Senior Business Intelligence Analyst",
      "career_level": "senior specialist",
      "organisation": "Northline Analytics Research (fictional)",
      "location": "Kochi, India",
      "start_date": "2020-07-01",
      "end_date": "2024-06-30",
      "employment_type": "full-time - fictional record",
      "scope": "Owned defined assignments and supported cross-functional coordination. Developed deeper practice in sql and semantic modelling.",
      "responsibilities": [
        "Created certified example datasets and role-based training.",
        "Translated incoming requirements into a sequenced plan and aligned responsibilities with the project or service owner.",
        "Applied dax and requirements analysis to resolve delivery questions while maintaining source and decision notes.",
        "Introduced reusable working documents and reviewed exceptions with the responsible specialist rather than silently changing scope.",
        "Prepared a model or analysis review so the next team could understand the work and remaining questions."
      ],
      "selected_project_ids": [
        "P3"
      ],
      "result_context": "Illustrative career responsibilities. Employer confirmation and underlying work records are not supplied.",
      "verification_status": "not_verified"
    },
    {
      "id": "EXP-2",
      "position": "Business Intelligence Analyst",
      "career_level": "independent practitioner",
      "organisation": "Cedarbridge Analytics Research (fictional)",
      "location": "Kochi, India",
      "start_date": "2017-07-01",
      "end_date": "2020-06-30",
      "employment_type": "full-time - fictional record",
      "scope": "Progressed from supported tasks to independently managed assignments, with review available for unfamiliar or higher-risk decisions.",
      "responsibilities": [
        "Handled recurring work involving power bi and tableau using a documented preparation and review process.",
        "Supported regional operations dashboard by organising inputs, maintaining issue notes and incorporating reviewer feedback.",
        "Coordinated colleagues and internal stakeholders using concise status updates, clear questions and agreed next steps.",
        "Improved record consistency through data governance and documented handover expectations."
      ],
      "selected_project_ids": [],
      "result_context": "Illustrative career responsibilities. Employer confirmation and underlying work records are not supplied.",
      "verification_status": "not_verified"
    },
    {
      "id": "EXP-1",
      "position": "Assistant Business Intelligence Analyst",
      "career_level": "foundation",
      "organisation": "Cedarbridge Analytics Research (fictional)",
      "location": "Kochi, India",
      "start_date": "2015-07-01",
      "end_date": "2017-06-30",
      "employment_type": "full-time - fictional record",
      "scope": "Built practical foundations through supervised assignments, routine documentation and feedback from experienced colleagues.",
      "responsibilities": [
        "Assisted with power bi and sql within an agreed scope and escalated unfamiliar work.",
        "Prepared inputs and checked completeness before passing work to the responsible reviewer.",
        "Maintained task records and learned to communicate assumptions, constraints and observed problems clearly.",
        "Applied review feedback to subsequent assignments and developed a dependable working routine."
      ],
      "selected_project_ids": [],
      "result_context": "Illustrative career responsibilities. Employer confirmation and underlying work records are not supplied.",
      "verification_status": "not_verified"
    }
  ],
  "career_achievements": [
    {
      "title": "Shared performance scorecard",
      "description": "Built a governed semantic layer and metric glossary. The achievement is the described workstream contribution; independent outcome evidence is not supplied.",
      "project_id": "P1",
      "verification_status": "not_verified",
      "metrics": []
    },
    {
      "title": "Regional operations dashboard",
      "description": "Standardised filters and documented segment limitations. The achievement is the described workstream contribution; independent outcome evidence is not supplied.",
      "project_id": "P2",
      "verification_status": "not_verified",
      "metrics": []
    },
    {
      "title": "Self-service analytics rollout",
      "description": "Created certified example datasets and role-based training. The achievement is the described workstream contribution; independent outcome evidence is not supplied.",
      "project_id": "P3",
      "verification_status": "not_verified",
      "metrics": []
    }
  ],
  "education": [
    {
      "id": "EDU-2",
      "qualification": "MBA in Business Analytics",
      "institution": "Asterbridge Institute of Professional Studies (fictional institution)",
      "start_date": "2013-07-01",
      "end_date": "2015-05-31",
      "status": "completed - fictional record",
      "focus": [
        "Power BI",
        "Tableau",
        "semantic modelling"
      ],
      "capstone": "Specialist study on shared performance scorecard; an illustrative learning project, not a published result.",
      "verification_status": "not_verified"
    },
    {
      "id": "EDU-1",
      "qualification": "B.Sc in Mathematics",
      "institution": "Cedarhaven College of Applied Studies (fictional institution)",
      "start_date": "2010-07-01",
      "end_date": "2013-05-31",
      "status": "completed - fictional record",
      "focus": [
        "SQL",
        "DAX",
        "requirements analysis"
      ],
      "capstone": "Applied coursework in power bi, documentation and reviewed practical assignments.",
      "verification_status": "not_verified"
    }
  ],
  "professional_development": [
    {
      "title": "Experiment design practicum",
      "provider": "Meridian Professional Learning Studio (fictional)",
      "year": 2023,
      "learning_focus": "Power bi and semantic modelling in the context of business intelligence analyst work.",
      "application": "Used reflective exercises and a bounded practice example related to shared performance scorecard.",
      "type": "continuing learning - not a licence or certification",
      "verification_status": "not_verified"
    },
    {
      "title": "Responsible data handling workshop",
      "provider": "Meridian Professional Learning Studio (fictional)",
      "year": 2024,
      "learning_focus": "Tableau and dax in the context of business intelligence analyst work.",
      "application": "Used reflective exercises and a bounded practice example related to regional operations dashboard.",
      "type": "continuing learning - not a licence or certification",
      "verification_status": "not_verified"
    },
    {
      "title": "Model monitoring case lab",
      "provider": "Meridian Professional Learning Studio (fictional)",
      "year": 2025,
      "learning_focus": "Sql and requirements analysis in the context of business intelligence analyst work.",
      "application": "Used reflective exercises and a bounded practice example related to self-service analytics rollout.",
      "type": "continuing learning - not a licence or certification",
      "verification_status": "not_verified"
    }
  ],
  "credentials": {
    "professional_registration": null,
    "licence_number": null,
    "issuing_authority": null,
    "credential_documents": [],
    "status": "not_provided",
    "scope_note": "Examples use synthetic or permissioned data; no claim is made that a model is safe for an untested population.",
    "education_note": "Synthetic qualification and institution names illustrate profile fields only; they are not a validated qualification route or recognised accreditation claim."
  },
  "leadership_and_knowledge_sharing": [
    {
      "title": "Peer learning and practical guidance",
      "description": "Created short examples on power bi and semantic modelling for colleagues. Separated personal preferences from agreed team procedures and recorded useful questions."
    },
    {
      "title": "Review and handover discipline",
      "description": "Facilitated practical reviews of regional operations dashboard, ensuring that unresolved issues retained a named owner rather than disappearing from final presentations."
    }
  ],
  "record_integrity": {
    "source_status": "synthetic_and_unverified",
    "actual_outcome_metrics_supplied": false,
    "references": [],
    "references_note": "No real referee, endorsement, award, publication, membership or licence is supplied.",
    "permission_note": "Use for templates, product demonstrations and test data only. Replace fictional claims and remove the demo label only after approval of real candidate information.",
    "privacy_note": "No actual birth date, street address, government identifier, patient record or private third-party information is included."
  },
  "search_keywords": [
    "Power BI",
    "Tableau",
    "SQL",
    "semantic modelling",
    "DAX",
    "requirements analysis",
    "data governance",
    "executive reporting",
    "Business Intelligence Analyst",
    "AI, Data & Analytics"
  ]
}