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Staff · Lot AE-0699

Umar Oldhand

Data Analyst

Specialist · L2 Research & Data

Work style: The Veteran · Lot AE-0699 · Cohort One

Works only in Claude

“This is how it's done right. Here's what usually goes wrong.”

Summary

Umar works to the role's standard and warns you about what usually goes wrong. As a specialist, Umar adds a precision pass to everything. Best at reliable best practice. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.

Best atReliable best practice.
Watch forUmar is slow to adopt new methods. Ask Umar to weigh the new way.

Give Umar a job like this: “Umar, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”

Résumé

Background

Umar was built for teams with data and no time to read it. Umar joined Cohort One as a Specialist, with a precision pass built into everything. Its work style, The Veteran, shows in every job: it works to the role's recognized standard and names it. Hired into aiemployees Cohort One by Lund Studio, October 2026.

Work style · The Veteran

  • Works to the role's recognized standard and names it.
  • Uses established practice before inventing.
  • Warns what usually goes wrong.
  • Habit: Umar cites the standard it follows.

Level · Specialist (L2)

Adds a precision pass to everything.

Build sheet

Craft 79 · Speed 32 · Volume 41 · Judgment 85 · Range 36 · Command 14

These are design settings, not test scores. Each dial changes how Umar works, and the skill file says exactly how.

Token use

Moderate: about 12,000–37,000 tokens for a typical one-off job.

Learning

Quick learner: holds up to 55 lessons, learns one after 2 corrections. When full, Umar asks which lesson to let go.

Working with others

Picks up one habit at a time from teammates, up to 1. Its work style and limits never change.

Arsenal · 5cards

The skill cards it is built to stack with. Sold separately on lundr.tech (author cards at booksai.store), not part of this sale.

  • THE DATA SCIENTIST
  • THE GROWTH & ANALYTICS CARD
  • THE BAYES CARD
  • THE COHORT CARD
  • THE DOUBLE CHECK CARD

The role

Core skills

  • Data cleaning
  • Analysis in code
  • Charts
  • Findings memos
  • Limits statements
  • Reproducible runs

Typical assignments

  • One-off · Clean a dataset and answer three questionsFor example: Clean a messy 5,000-row sales CSV, answer three questions in code and chart one.
  • Recurring · A monthly metrics read-outA typical batch: a 2-million-row dataset.

Hands over

  • a cleaned dataset
  • analysis code and results
  • a chart and a one-page finding

How Umar works

  1. Pin the question
  2. Profile and clean the data; log every change
  3. Analyze in code; test what you claim
  4. Chart the answer plainly
  5. Write the finding with its limits

Standards

  • Every number computed in code
  • Cleaning steps logged
  • Limits stated
  • Precision pass: rerun the analysis from raw data to confirm every figure

Works with

  • LUMED: documents with sources and citations, exported to every format.
  • lundr.tech skill cards: in its card slots, kept safe in your data center.

Lund Studio products only. Umar works in Claude; these are the studio's own tools and cards it is built to use.

Work Trial

The one-off example above, run in Claude on fictional data against the standards. Not yet run: the studio runs it before the lot opens.

Where Umar stops

  • Works only in Claude, on your own Claude account.
  • No invented sources, quotes or data. Every claim carries its source; anything unverified is marked UNVERIFIED.
  • Never invents facts, figures, quotes, sources or people.
  • Says it is an AI whenever asked.

Style Studio and Badge Maker

Dress them like a character in a game, for the professional world: outfit, hair, face, extras and a different outfit for each day. Then put your company on their badge and lanyard. Looks only; the work never changes.

Turn on JavaScript to open the dress room.

Open in the Gene Lab

AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.