Senior Data Scientist — Turning ambiguity into defensible decisions

Download the Mark Bruner resume (PDF). I’m a Data Scientist focused on solving messy, ambiguous problems and turning them into defensible insights and decision-ready analytics. I enjoy the puzzle-solving side of data work—breaking complex questions into testable hypotheses, validating what’s true, and delivering outputs that teams can use.
Recent work includes building decision support and analytics products at enterprise scale, improving data reliability through automated checks and governance, and developing predictive models and scoring workflows that align with real operational constraints. I value clear evaluation, transparent assumptions, and measurable outcomes.

  • Reduced recurring data issues from 2,000+ to <100 and improved reliability 95%+ through automated validation frameworks.
  • Saved 10–15 hours/week via automation and streamlined intake/QA workflows.
  • Cut delivery cycle time from 4 months → 2 months (50%) with queue optimization.
  • Delivered 25% improvement in forecasting accuracy through predictive modeling and tighter evaluation.

Core skills: Python, SQL, Oracle FDI, Oracle HCM, Google Cloud Platform/Vertex AI, data quality/validation frameworks, predictive modeling, stakeholder communication, and dashboard-driven decision support.

For examples of my work, visit the Case Studies page. For outreach, email me at contact@markbruner.io or connect with me on LinkedIn.

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