About

Analytics work with business context.

I focus on the practical middle ground between planning analytics, reporting, and data engineering: clear business logic, reliable reporting objects, and outputs stakeholders can trust.

How I work

My strongest professional experience is around IBM Planning Analytics/TM1, where I have worked with PAW and PAX reports, cubes, dimensions, virtual hierarchies, MDX subsets, rules, TI processes, and post-go-live support.

I am also building a broader data engineering profile with Python, SQL, Pandas, PySpark, Microsoft Fabric, and Docker, while keeping the business-facing habits from reporting, marketing analytics, and stakeholder communication.

Current focus

  • IBM Planning Analytics / TM1
  • PAW, PAX, MDX, Rules, and TI processes
  • Power BI and business reporting
  • Python, SQL, and Microsoft Fabric
  • Pandas and PySpark data processing