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Diamond Python Control Lab

This repository contains Python automation components for regulated-business workflows.

Positioning

I am building practical Python capability for regulated financial services, ESG governance, data-quality controls, vendor oversight and AI-assisted workflow automation.

This is not a software engineering portfolio. It is a business automation and control-evidence portfolio.

Core themes

  • Data-quality checks
  • Control status classification
  • Exception reporting
  • Vendor oversight monitoring
  • ESG reporting evidence
  • Claude-assisted control narratives
  • Human-in-the-loop review
  • Audit logs

How to run

Create and activate a virtual environment, then install requirements:

py -3.13 -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt

About

Applied Python workflows for data validation, exception management, audit trails and business-process automation.

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