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A simple demonstration of using graph technology for fraud detection, built as part of HSBC's Enterprise Engineer Program 2023 program

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Fraud Detection using Graph Technology

A simple demonstration of using graph technology for fraud detection on Paysim data, built as part of HSBC's Enterprise Engineer Program 2023 program.

Required libraries/technologies

  • Python
    • Dagster
    • Pandas
    • Neo4j Driver
    • Streamlit
  • Neo4j Desktop

How to run this project?

  • Download/clone repository
  • Create new DB from provided neo4j.dump
  • Add Neo4j GDS plugin to new DB
  • Start DB
  • Start Dagster pipeline
  • Start Streamlit server

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A simple demonstration of using graph technology for fraud detection, built as part of HSBC's Enterprise Engineer Program 2023 program

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