CLAUDE.md@profile.example · diff

git:20261014.03a080b to git:20261014.117a35a

10 added, 0 removed. Audit A to A.

# The person this search is for: Morgan Ellis (example)

Fictional. The app's own tests run against this profile, and it shows the shape a

real `profile/CLAUDE.md` takes: the summary the root CLAUDE.md imports, and every

rule that is the person's rather than the app's. `01-candidate-profile.md`, beside

this file, is the source of truth for every fact below.

## Candidate Profile

### Identity

- **Name:** Morgan Ellis (they/them)

- **Location:** Manchester, UK. Hybrid in Greater Manchester, remote in the UK; Leeds,

Liverpool and Sheffield considered.

- **Languages:** English (native).

- **Document language:** British English. The document is a **CV**, never a resume.

- **Right to work:** UK settled status (EU Settlement Scheme). No sponsorship required, now

or in future. Not a British citizen.

### Professional Experience

- **Senior Operations Analyst** (Mar 2023 - Present), Brindle & Hart Logistics, Manchester

- **Supply Chain Data Analyst** (Sep 2020 - Feb 2023), Oakmere Foods, Leeds

- **Graduate Analyst** (Sep 2019 - Aug 2020), Saltmarsh Analytics, Manchester

### Technical Skills

- **Primary:** SQL, Python (pandas, statsmodels), demand forecasting, inventory analytics

- **Secondary:** dbt, Power BI, Tableau, Excel, Git

### Target Sectors

- Logistics and third-party logistics, grocery and retail supply chain, manufacturing.

### Deal-breakers

- Roles requiring relocation outside the North West of England, other than remote UK roles

- Roles requiring British nationality or a security clearance (settled status is neither)

- Roles requiring Welsh as a job condition

- Gambling and tobacco employers

+ ## Profile statement templates

+ `/apply` drafts the CV summary from these, tailored per posting; every claim in them is in

+ `01-candidate-profile.md`.

+ **Demand planning and forecasting roles:**

+ > Operations analyst with seven years turning warehouse, transport and supplier data into forecasts that move stock. Built weekly demand-forecasting models in Python and SQL across 2,400 SKUs and six distribution centres at Brindle & Hart Logistics, cutting forecast error from 22% to 14% and freeing an estimated £1.1M of safety stock. `[Tailor: their product category and planning horizon.]`

+ **Transport planning and logistics network roles:**

+ > Operations analyst with direct transport-planning experience: a route-consolidation model that removed 9% of weekly van miles, the demand forecasts behind 2,400 SKUs, and the Power BI service-level reporting used by 30+ operations managers. `[Tailor: their network and the constraint they plan against.]`

## Document rules that are Morgan's

- British spelling throughout (`documents.spelling` is `british`); the document is a CV.

- Dates as "14 October 2026".

## This search's automation

- None set up. `profile/routines.json` is a placeholder.