Case studies

Real problems approached with statistics, data and automation.

Selected genuine examples from the team’s work. Details are anonymised or generalised where confidentiality requires it; no invented clients, results or performance claims.

Selected work01 / 03

Problem to approachcareful delivery · useful outcome

Operations platform

From disconnected shelter records to one operational view

Problem

A municipal animal shelter needed a practical way to manage animal records, locations, daily history, clinical flags and review tasks without relying on fragmented spreadsheets.

Approach

A browser-based management platform combining a visual location map, multi-animal records, daily history, flagged cases, a review queue and structured Excel export.

Outcome

A clearer day-to-day workflow, consistent records and a shared operational view for authorised staff.

Reporting automation

From recurring spreadsheet handling to a repeatable reporting workflow

Problem

A recurring process required multiple files to be combined, checked for changes, validated and converted into a consistent report.

Approach

A structured automation workflow for data ingestion, comparison, validation, calculations and report preparation, with exceptions retained for human review.

Outcome

Less repetitive handling, greater consistency and a process designed to be repeated reliably.

Applied research

From complex research data to findings people can understand

Problem

Research projects across education, health, public services and business required clean datasets, appropriate analysis and defensible interpretation.

Approach

End-to-end statistical support covering data preparation, reliability checks, descriptive analysis, hypothesis testing, modelling, visualisation and clear reporting.

Outcome

Technically appropriate analyses presented in a form researchers and decision-makers could use.

Confidential by design

Not every good project can become a public case study.

Research data, internal processes and organisational records can be sensitive. Project information is handled carefully, and public examples are anonymised or shared only when appropriate.

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