[PETS'26] AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents

jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.

In your projects developed with EntityFramework, it keeps track of all the changes that take place in your database and records them wherever you want.

The Audit module is designed to support statistical auditing using both Bayesian and classical approaches. The module is based on the R package jfa.

SQL scripts for auditing CRM permissions, correcting data profiles, and managing record quality.

Structured data-cleaning pipeline built on the Olist e-commerce dataset, focusing on reproducible ingestion, schema profiling, and light standardization using Python and pandas. Emphasizes clear pipeline stages, auditability, and portfolio-ready documentation.

This project explores Snowflake’s Time Travel feature, including querying historical data using offsets, retention periods, and query IDs. It demonstrates restoring previous table states after updates, managing retention settings, and recovering data efficiently.

Data Wangling with Python

Python tool for automated photo anonymization and data integrity auditing.

Exploratory data analysis and data auditing for a D2C churn project. Focuses on cleaning the dataset, understanding customer behavior, finding patterns, and preparing insights for later retention and churn modeling stages.

This repository houses a prototype of FrostyTracking, a Streamlit-powered Audit Analytics for Snowflake.

Maven-based Java utility to scan SQL Server and track created vs. updated records using timestamp fields across all schemas.

A lightweight toolkit for auditing non-equilibrium transitions and structural collapse in complex time-series data. Features dual-branch DSP (LF/HF), interpretable metrics, and an interactive browser UI.

Auditing framework for synthetic data generators (GAN-based) in imbalanced recession prediction.

Scripts SQL para auditoria de dados, validação de integridade e suporte a migrações em sistemas SaaS

A comparative data science case study running an e-commerce inventory pipeline on 18k records using manual Python/Pandas vs. OpenAI Codex agents. Demonstrates the critical process of auditing and correcting AI logic drift.