Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
Abstract: With digital transactions becoming the norm, fraud in financial systems—especially credit card fraud— is growing fast. Traditional fraud detection methods are no longer sufficient. They’re ...
A full-stack data engineering project that simulates migrating a failing legacy SQL database to a modern system — diagnosing every bottleneck before touching production, running unsupervised ML ...
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