C1
Dashboards & BI
One number, one definition, one place. Power BI, Looker Studio, or a custom web dashboard that works on a phone in a warehouse.
Power BIDAXLookerCustom web
C
Services
Four things, done properly.
Most of my work starts the same way: someone is copying numbers between files every Monday morning. It ends with that Monday morning being free.
C2
Data engineering
Pipelines that run at 06:00 so nobody exports anything by hand again. Modelled, tested, documented, and cheap to keep alive.
SQLNoSQLPostgreSQLPython
C3
Reporting automation
SAP and Excel reports that build themselves — including the ones with the awkward column names nobody wants to touch.
SAP IS-UExcelApps ScriptPDF/Mail
C4
AI & machine learning
Demand forecasts, churn scores, customer segments, and LLM assistants that answer questions over your own documents and databases — delivered as something your team can actually open and use.
scikit-learnLLM / RAGForecastingClustering
D
How it runs
Four weeks from export to answer.
Fixed scope, fixed price, nothing hidden behind a login you don't own.
Week 1
Audit
One call and a look at your real files. I map where every number comes from and which two of them disagree.
Week 1–2
Model
A data model built around your business terms, not the source system's. We agree on definitions before anything is built.
Week 3–4
Build
Pipeline, dashboard, alerts. You see it working on your own data while it's being built, not at the end.
After
Handover
Documentation, a training session, and credentials that belong to you. Keep me on retainer or don't — the system runs either way.