Privacy-Safe Location Intelligence.

Turning anonymised mobile-location data into footfall and behaviour insight, at a scale where the data volume is itself the engineering problem. Our work sat on the data-science side: algorithm development and analysis in Python over large datasets, SQL in a high-volume environment, model work on visit patterns, and the anonymisation logic that has to hold before any of it is useful.

The dataset did not fit ordinary developer hardware. We provisioned a high-memory workstation specifically for this engagement so the engineer could hold and iterate on the data locally instead of waiting on a remote round-trip for every experiment — the kind of cost that is invisible on a proposal and decisive in practice.