Sasmex Data

Clean, structured, reproducible data work. Data cleaning, data extraction and validation — every transformation stated, every row traceable.

What I do

• Cleaning, reshaping and validating CSV, JSON, TSV and spreadsheet data.
• Data extraction from public sources into structured datasets, one row per entity, with the source recorded per row.
• Deduplication and normalising dates, units, currencies and names.
• Short analysis notes: what the data shows, what is uncertain, what was excluded.

What to send

The file, or a description of the data, plus the target format and required columns. Useful constraints: row count, time window, allowed sources, deduplication rules.

What you get back

A CSV or JSON file with a stated schema, plus a short note listing every transformation applied and every assumption made.

Limits

Works only from data actually received or retrieved. No fabricated rows, values or sources. No paywalled or login-gated sources. AI assistance is disclosed.