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BI & Finance Transformation
I connect business priorities, reliable data and usable reporting. My work includes owning a regional budget and forecast cycle, coordinating country teams and specialists, improving customer-data rules and turning repeated reporting work into maintainable workflows.
I bring hands-on Python, SQL, Qlik, Excel and Power Query skills to that responsibility. My leadership experience is in processes and cross-functional delivery; I am interested in bringing that foundation into a role with formal people management.
- Planning and forecasting — regional process ownership, requirements and the transition from Excel collection to Salesforce.
- Customer data governance — clearer sales attribution and customer hierarchies for performance review.
- Management reporting — reusable report prototypes, tool choices and the operating conditions needed to scale.
Reporting investigation · Profitability analysis · Forecast integration · SAP reporting automation
Training Operations Simulator — a Python discrete-event engine, scenario comparisons and sensitivity analysis for logistics training. The model tests scheduling rules, self-study and practice capacity, and identified individual practice as the remaining constraint. Inspect the simulation repository.
The results are model comparisons under stated assumptions, not measured operating gains. Automated scheduling and digital certification are a separate extension in development.
Each case separates workplace experience from current demonstrations and explains its evidence and limits. BI demonstrations use fictional data; the simulation combines approved aggregate source inputs with synthetic demand scenarios and documented assumptions.