Fraud investigation console
Explore the actual aggregate findings from my 6.3-million-transaction PaySim pipeline, investigate synthetic example cases, and test the same three risk rules used in my Snowflake SQL.
Risk tier distribution
Actual aggregated results reported in the project repository. Bar length uses a logarithmic scale to keep the small HIGH tier visible.
Investigation queue
Synthetic example transactions scored using the project's actual SQL rules. These are not sampled records from the original dataset.
| Case | Type | Amount | Score | Risk tier |
|---|
Source: Fraud Detection Pipeline in Snowflake. Dataset: PaySim synthetic mobile-money transactions. The aggregate figures come from the project's README. Individual case records shown here are illustrative. This demo runs in the browser; it does not connect to Snowflake or a production fraud-monitoring system.