Operations & data consultant · Netherlands · Belgium · France

Operations & data consultant for manufacturing and distribution. I find where the numbers break.

Broken SAP extracts, manual reporting, dashboards nobody trusts. I trace the problem to the source and fix it. Fractional and interim, for manufacturing and distribution companies in the Netherlands, Belgium and France.

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Power BI SAP Anaplan Python Automation & AI Google Sheets
25 years inside operations at Unilever 3M HP Avery Dennison
What I do

Three problems, over and over.

01

Data that doesn't tie out

ERP extracts that don't match the warehouse, figures that change depending on who pulled them. I trace the break and fix it at the source.

02

Reports that eat days

The monthly pack that takes a team two days of copy-paste. I automate the pipeline so it builds itself and the team gets the days back.

03

Dashboards nobody trusts

Power BI that looks good and gets ignored because the numbers feel wrong. I rebuild on data you can stand behind in a meeting.

Process automation & AI

The same manual steps every week? A machine should do those.

Pulling data, reformatting files, copying figures between systems. I automate those workflows in Python and Power Query. Where AI genuinely helps, I add it: extracting and classifying data, drafting documents, summarising long inputs, firing alerts the moment something changes.

For more complex needs I build AI assistants that handle one specific workflow from start to finish. I also advise on where AI fits in the tools you already use (SAP, Power BI, etc.) and where it doesn't. Less manual effort, numbers you can still rely on.

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6 hrs/week → 0

Data reconciliation errors eliminated by automating manual entry checks.

1 hr → 5 min

Daily morning routine cut to five minutes with AI handling the read-through.

12+ hrs/day

Document and email drafting now handled by AI overnight, freeing up a full person's day.

How I work

Describe the problem and I'll ask about your setup. Not hand you a slide deck. I've probably seen a similar tangle before, and the first useful question is nearly always about where the data actually comes from.

Manufacturing and distribution in the Netherlands, Belgium and France. Fractional and interim, not permanent. I work in English, Dutch, and French. When the same manual work runs every week, I automate it. AI where it makes sense, straightforward scripting where it doesn't.

Full background

Ready to find where it breaks?

Twenty minutes on a call. Written findings within five days. No commitment.

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