Selected work
Anonymized delivery stories across reporting modernization, performance, governance, semantic models, and AI-assisted BI. Each case keeps the role, constraint, work, and outcome visible.
Featured engineering example
Maintaining 10+ production Power BI datasets and reports alone made measure-level regressions easy to miss. Changes were reviewed manually, if at all, and confidence in deployment dropped as the models grew. The underlying issue: a `.pbix` opened and saved is a review black box — nothing compares the model before and after.
Case studies retain industry, role, constraints, methods, and public-safe outcomes. Client names and restricted implementation details are anonymized.
Dashboards too slow for daily use, or datasets that do not scale.
One analytics path reduced from 25M to under 100K rows; identified issues dropped from 43 to 2
Architecture-level performance work with rollout-readiness evidence, not just dashboard polish
Load time dropped to 7 seconds through dataset and SQL logic changes
Measurable performance proof tied to daily operational use
Data quality invisible to stakeholders, or governance without shared evidence.
Stakeholders gained a single governed view plus an automated monthly refresh for interim governance review
Shows BI delivery tied to governance trust, secure-environment constraints, and a maintainable handover path
Legacy reports to migrate, reporting architecture to establish, or dashboards to rebuild.
A new CTRM platform gained a validated reporting layer for middle-office and finance users across exception, compliance, and P&L monitoring
Shows specialist reporting delivery in a complex multi-party environment, including data-validation discipline and stakeholder sign-off
A cross-sell workflow moved from fragmented analysis to a single drillable customer 360 dashboard
Shows end-to-end dashboard design, data modeling, and adoption-focused iteration rather than a static build
Reports migrated to Power BI Paginated Reports with improved maintainability
Enterprise-scale migration, not a one-off conversion
Models that need source control, validation, or structured review before deployment.
Reusable TMDL/PBIR inspection and DAX risk detection workflow for ongoing production maintenance
Recent workflow built from real production-maintenance needs, with public proof through a GitHub repo and a Mar 2026 speaking session.
AI interest that needs honest scoping, a POC, or review-controlled guardrails.
Demonstrated feasibility of AI-assisted personalized messaging
Scoped clearly as a POC, not a scaled transformation
A fragmented KPI view became a unified control-tower POC with AI-assisted anomaly visibility and handover materials
Shows AI-assisted BI delivered as a documented, stakeholder-validated POC rather than hype
Contact
Start with the current constraint: modernization, performance, governance visibility, or a more maintainable Power BI workflow.
