Toolkit
Not a badge wall. Each of these earns its place by doing a specific job in a real workflow — from the system of record to the throwaway automation.
MM and IM day to day — material master, MRP runs, reservations, goods movements, physical inventory. I pull extracts for anything SAP's own reporting can't answer cleanly.
[PLACEHOLDER] A specific example — a reconciliation or a report you rebuilt outside SAP.
The layer stakeholders actually look at. I build the semantic model as much as the visuals — star schema, DAX measures, incremental refresh — so the numbers hold up under drill-down.
[PLACEHOLDER] Which reports, refreshed how often, used by whom.
Associative exploration for supply-chain KPIs where users need to slice freely rather than follow a fixed report path.
[PLACEHOLDER] A Qlik app you own and what question it answers.
Where a spreadsheet or a BI report stops being enough. Data pipelines, simulation (the safety-stock Monte-Carlo), the CPIM formula engine, Streamlit front-ends. pandas, numpy, scipy.
The CPIM calculator and the Monte-Carlo simulator on this site are both mine.
Warehouse queries for reconciliation and for feeding BI models. Window functions and CTEs for anything that would otherwise be three nested spreadsheets.
[PLACEHOLDER] Which database / warehouse.
The pragmatic choice for automating recurring spreadsheet work that isn't yet worth a full application — and for tools that have to live inside Excel because that's where the users are.
[PLACEHOLDER] One process you automated and the time it saved.