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#

audit-analytics

Here are 16 public repositories matching this topic...

End-to-end financial transaction anomaly detection system built with Python and Power BI. Flags 3.2% of 284,807 transactions as high-risk using Isolation Forest, Z-Score, and IQR methods with 91% precision. Simulates real-world Big 4 audit analytics workflows.

  • Updated Apr 25, 2026
  • Jupyter Notebook

SQL-based fraud analysis of a 6M+ financial transaction dataset using PostgreSQL. The project follows audit-style workflows, preserves raw data integrity, applies performance indexing, and identifies systemic fraud patterns, balance inconsistencies, and high-risk transaction channels.

  • Updated Dec 29, 2025

This Python script generates a dataset of fake financial transactions, designed for audit training and testing purposes. It creates a CSV file containing a mix of normal transactions and various types of irregularities, ranging from simple anomalies to sophisticated patterns that require advanced analytical techniques to detect.

  • Updated May 22, 2026
  • Python

Procurement risk analytics platform built in R/Shiny using Polish public procurement data (Atlas Przetargów). Features Benford screening, buyer & vendor risk scoring, relationship analytics, concentration monitoring and Dockerized deployment. Developed as an end-to-end analytics product for procurement risk screening and audit support.

  • Updated Jun 7, 2026
  • R

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