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CV

Role-specific versions for different assignment needs

Role-specific CV downloads for enterprise data platforms, analytics, AI automation leadership, and agentic AI systems.

I keep a few CV versions for different assignment types. They describe the same career, but emphasize different evidence depending on whether you need enterprise data delivery, senior data science, AI adoption leadership, or agentic AI systems.

If you are unsure which one to use, start with the Principal Consultant version.

General profile

Principal Consultant / Enterprise Data & AI Platforms

Best for platform migrations, warehouse cost and performance, analytics automation, coding agents, time series ML, and interim technical leadership.

  • Cross-platform migration validation from zero to live dashboard in about one week.
  • SQL pipeline optimization with 5-10x speedup and row-level correctness proof.
  • Interim lead for a 4-7 person DS and advanced analytics team.
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Data science profile

Senior Data Scientist / Data Science & Quality

Best for applied data science, Python/SQL modeling, data quality validation, stakeholder-facing analysis, statistical decision support, and senior IC data science roles.

  • Data-quality checks across schemas, row counts, key distributions, and date ranges.
  • Python/SQL data science and reporting for public-sector decision support.
  • Agent-assisted data science workflows without weakening correctness.
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Leadership profile

AI Automation Lead / AI Change Consultant

Best for AI opportunity discovery, business/IT/data stakeholder alignment, controlled GenAI rollout, roadmap ownership, ROI framing, and capability building.

  • Roadmap ownership and stakeholder steering across business, data, and platform teams.
  • AI automation discovery from high-friction workflows to controlled implementation.
  • Project lead experience across an approximately 11M SEK Vinnova/EU portfolio.
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Agentic AI profile

Applied AI / Agentic Systems Consultant

Best for coding agents, Text-to-SQL, tool contracts, evals, run manifests, CLI-orchestrated workflows, and Snowflake/Databricks automation.

  • Agent-driven migration validator wired to Databricks and Snowflake CLIs.
  • Text-to-SQL work against production ERP data with schema grounding and result-level evaluation.
  • Open-source ts-agents framework with strict JSON tool contracts and sandboxed execution.
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All versions share the same chronology, employers, education, and core achievements. The difference is the emphasis: each PDF foregrounds the evidence most relevant to a specific buyer or assignment brief.

Want the right version for a specific assignment?

Send me the role description or broker brief and I can point you to the closest match.

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Copyright 2026, Farrukh Nauman