This repository presents a machine learning project focused on detecting anomalies in transaction data using multiple algorithms and evaluation techniques. The primary aim of this project is to ...

“From numbers to needles in the haystack: Detecting fraud with data intelligence.” In this Power BI project, I designed an interactive fraud detection dashboard analyzing over 5 million transactions ...

In addition to stressing the need for updated risk assessments, the Supplemental Guidance specifically sets the expectation that institutions should have a layered security program that at a minimum ...

With the rapid development of blockchain technology, its applications in finance, supply chain management, the Internet of Things, and other fields have become increasingly widespread. However, the ...

These patterns often predicted edge device failures in advance at a 99% accuracy, allowing us to build self-healing systems that reduced downtime and manual intervention. While at AT&T, I was tasked ...

Let's look at several AI-based fraud detection strategies, their advantages over traditional methods, key challenges, case studies and future trends shaping the industry. Banking Fraud Landscape ...