I build the data layer that measures the commercial value chain — and find where revenue leaks between the systems that run it. Eight years in commercial operations, now joined to hands-on analytics engineering.
I'm an analytics engineer, trained first as an industrial engineer, who spent eight years inside the commercial value chain before turning to the data layer that measures it. Customer operations at one of Iran's largest ride-hailing platforms, then SEO and brand strategy, then full commercial builds — each step taught me the same lesson from a different angle: value moves through systems, and it escapes in the gaps between them.
That conviction became Flow Audit — and then Spatium Flow, the company built around it. I work where CRM, contracts, billing, and commissions are supposed to agree and quietly don't: reconciling the systems, finding the unexplained variance, and pricing it in tested, documented models.
My principle is simple, and it's the same in code, in business, and in life: growth comes from removing obstruction in the value flow.
The mark is an astrolabe — the ancient instrument for reading the hidden order of the heavens and finding one's place within it. It is how I see this work: read the system, find the alignment, clear the path. The light at its centre is the truth a clear instrument points toward.
End-to-end analytics pipeline built solo: 21 dbt models, 52 passing data tests, seven revenue-leak types detected and priced against a ground-truth ledger, with calibration proving 100% precision and recall. Running live as the first Spatium Flow product.
A six-question diagnostic engine in MySQL using CTEs and window functions to locate pipeline, billing, and retention leaks; four dashboard views published to Tableau Public.