Context
mirza_analyzer is framed as a local analysis pipeline for exported chat data. It is useful as a secondary case because it shows staged data handling and reporting.
Problem
Exported communication data can be hard to audit or analyze directly. A local pipeline makes it easier to ingest, structure, and report on that data.
Approach
The project uses a staged flow: audit, ingest, SQLite storage, extraction, and reports.
Result
The case demonstrates local data pipeline thinking and practical reporting over exported files.
01Exported data
02Audit
03Ingest
04SQLite
05Extraction
06Reports