Transaction Enrichment & Brand Classification

End-to-end machine learning pipeline for merchant brand and industry classification and banking transaction enrichment, with synthetic data generation, vectorization experiments, and an interactive Streamlit dashboard.

View the Project on GitHub d-daemon/transaction-enrichment-ml

End-to-End Architecture

The pipeline consists of:

  1. Synthetic Data Generation
  2. Text Cleansing
  3. Vectorization & Model Training
  4. Model Evaluation
  5. Batch Categorization
  6. Streamlit Dashboard
← Getting Started Home Vectorization →