Credit Card Fraud Detection Using Snowflake ML Functions

Digital payments have become a cornerstone of modern commerce over the last couple decades. From online shopping to mobile banking, the digital era has ushered in the convenience of making transactions with a few taps or clicks, a change that has transformed consumer behavior. But despite all the benefits these technological advancements have wrought, there is also a dark side. The increase in online transactions has given rise to financial fraud, particularly in relation to credit card transactions. And fraudsters have become more sophisticated, employing advanced techniques to exploit vulnerabilities in payment systems, causing financial losses in the billions of dollars globally. This video walks through the implementation of an end-to-end pipeline comprising data ingestion, feature engineering, model building, and a data application to tackle the nuances of fraudulent transaction identification within the secure boundaries of the Snowflake Data Cloud.

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