Graph ML
Bank Account Fraud Detection
Network science for financial-fraud analysis
Analyzes bank-account application similarity networks using centrality, clustering, and connected components, with a reproducible R and Quarto report.
What I built
- Builds similarity graphs from bank-account application records to investigate structural patterns associated with fraud.
- Uses centrality, clustering, connected components, and graph cores to compare network structure, with reproducible analysis and visualizations in R and Quarto.
Explore the implementation
Source code, setup instructions, and project documentation are available in the repository.