Applied ML, APIs, and practical data systems.

The portfolio and Data tools pages are public proof of how I build. Below are fixed-scope engagements for teams—models, serving, and batch jobs first; spreadsheets or BI when that is what the problem needs.

Dashboard & KPI reporting

Best for: Department leads and small teams who already live in Sheets, Excel, or BI and need clearer performance views there.

KPIs, trends, and breakdowns in Excel, Google Sheets, or Power BI—a single view built on your data, with light handover your team can maintain.

Typical project range: €300 – €900

DashboardKPI definitionsdocumentationExcel
Data cleaning, profiling & prep

Best for: Teams stuck with conflicting exports, duplicates, or formats so nobody trusts the numbers yet.

Messy tables turned into something you can trust: cleaning, profiling, and documentation so the next step—dashboards, forecasts, or automation—does not collapse under bad inputs.

Typical project range: €120 – €400

Clean dataprofile summarydocumentationExcel
Reporting & spreadsheet automation

Best for: Roles where each reporting cycle still means manual exports, copy-paste, and checks you repeat every week or month.

Stop rebuilding the same report every week. Scheduled or on-demand pipelines—in Sheets, Apps Script, or Python—that mirror the discipline behind batch scoring: same inputs, same rules, reproducible outputs.

Typical project range: €200 – €700

Automated workflowsscriptsdocumentationExcel
Analysis, forecasting & AI-assisted reporting

Best for: Marketing or ops leads answering performance questions from the exports they already have—not handing off ad buying.

Structured marketing and ops reporting, simple forecasts only where history is solid enough to justify them, and optional summaries over aggregates. Scoped to your exports and questions—not running campaigns or ad ops for you.

Typical project range: €150 – €550

Reportsforecasts where fitoptional AI summaryAnalytics

Final pricing depends on data complexity and project scope.

If nothing here maps cleanly, describe the inputs, outputs, and constraints you need.

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Applied ML systems, APIs, and practical automation.