mmanueljoe/quickloan-ethical-governance-audit

An independent audit of a fintech startup’s ML-driven loan pipeline in Ghana identifying risks in data quality, legal compliance (DPA Act 843), and algorithmic fairness with actionable fixes and ethical reporting metrics. # QuickLoan Ethical Governance Audit This repository contains comprehensive data governance and compliance analysis reports for three distinct scenarios, covering data quality assessment, ethical governance review, and multi-jurisdiction privacy compliance. ## Contents ### 1. QuickLoan Mobile Governance Review An independent data governance consultant report analyzing QuickLoan Mobile's data pipeline and identifying critical governance, quality, and ethics risks. The report includes: - **Governance Review Card**: Analysis of data quality risks, legal/compliance risks (Ghana's Data Protection Act), bias/fairness risks, and ethical reporting metrics - **Corrected Data Flow Diagram**: Visual representation of the corrected data pipeline with numbered annotations explaining governance controls - **Review Process Summary**: 200-300 word essay explaining the data lifecycle and classification principles used **Key Focus Areas:** - Data minimization and consent management - PII classification and retention policies - Algorithmic bias detection and monitoring - Transparency in automated decision-making ### 2. MedTrack Ghana Data Quality Assessment A comprehensive data quality analysis report for MedTrack Ghana's patient appointment database, identifying violations across six data quality dimensions. **Deliverables:** - **Task 1**: Identification of quality issues (Accuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness) - **Task 2**: Business impact assessment linking quality issues to operational problems (SMS failures, incorrect reports, billing issues) - **Task 3**: Technical solutions for three critical issues with implementation steps, responsible parties, and verification methods - **Task 4**: Developer perspective on the biggest risk of poor data consistency **Key Issues Addressed:** - Inconsistent phone number formats causing SMS delivery failures - Duplicate patient records inflating reports - Missing patient names causing billing failures # …