audit-analytics

Audit Analytics projects

Repository for CQA: Audit market concentration in the EU. Reproducible Empirical Accounting Research. Ass I

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.

Financial audit risk analytics dashboard built with Python and Excel — anomaly detection, risk segmentation, and executive visualisation

NAAIL OpenLab™ — Evidence-governed AI research and education for accounting, auditing, finance and sustainability. Reproducible benchmarks, multi-agent prototypes and human-reviewed analysis.

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.

Audit analytics: Benford's Law, rule-based red flags and Isolation Forest over a 1M-row transaction ledger, validated against a synthetic anomaly set

AAAS — Accrual Anomaly Audit Screening. Forensic screening for U.S. public-company filings: Beneish M-Score, Altman Z, Dechow F, Jones discretionary accruals, REM and an SEC-enforcement-trained ML ensemble. Free during early access. Proprietary, not open source.

An unsupervised deep learning model (Autoencoder) for detecting accounting fraud and General Ledger anomalies using categorical embeddings.

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.

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.

Anonymised Power Query (M) and SQL logic used for Completeness & Accuracy testing in G-SIB financial audits.

Financial audit analytics with consistent master data, explainable anomaly review and reproducible workpapers on a synthetic ledger.

Practical guide and templates for applying data analysis in internal audit

Checked a year of San Francisco's vendor payments ($6.1B) for duplicate payments, duplicate vendor records, and bills paid more often than they should be. Python, SQL, Excel.

Power BI dashboard analysing audit observations, risk ratings, and audit progress using real-world audit data.

Simulates an audit-style data validation workflow on transactional data — SQL and Python exception-based control tests (duplicates, referential integrity, statistical outliers) that flag data-quality issues and generate an exception summary report + chart.

Python/pandas Continuous Controls Monitoring (CAAT) suite -- 6 audit checks over a synthetic ERP/HR dataset, surfacing 113 exceptions and $1.4M+ in quantified exposure with composite priority scoring.

Audit & accounting risk analytics: data validation, Isolation Forest anomaly detection, risk scoring, PostgreSQL and a Power BI dashboard

Audit analytics portfolio: 10 control checks, traceable evidence, reproducible runs, and reviewer history with Python, dbt, and BigQuery.