I work on the quiet part of data: cleaning it, questioning it, and turning it into something someone can decide with.

A good question beats a big dataset.
Scope is a form of respect — for the data and for the reader.

Reproducible, or it didn't happen.
If I can't run it again from scratch, I don't trust the result.

Clarity is part of the work.
An analysis that needs a translator is not finished.

• Building reproducible analysis pipelines in Python
• Exploring applied AI and statistical testing
• Learning to write more clearly, and to say less

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