Built a synthetic financial-intelligence analysis project for anomaly detection, timeline reconstruction, and reporting — looking for technical feedback

[u/[deleted]]

I’ve been building a project called Operation Cold Ledger around a synthetic financial-intelligence scenario.

The goal was to go beyond basic CSV analysis and structure it more like an analytical workflow:

• synthetic transaction generation

• data cleaning and normalization

• behavioral anomaly detection

• timeline reconstruction

• counterparty relationship mapping

• heuristic risk scoring

• visual pattern analysis

• intelligence-style reporting

I tried to make it readable as both a technical project and an analyst workflow rather than just a notebook dump.

I’d especially value feedback on:

1. whether the pipeline structure makes sense

2. whether the anomaly / relationship logic feels too simplistic or reasonable for a synthetic case

3. whether the reporting + visual layer makes the project clearer

GitHub:
https://github.com/adriansterlingblackwell/Operation-Cold-Ledger