Tell me about a time you used data to diagnose and solve a problem.

In my previous role in fraud detection, I was tasked with improving our ML model for check deposit fraud. My colleague and I analyzed various data sources, including transaction history, device information, authentication logs, account balances, and customer demographics. We then engineered new features and refined existing ones based on this data to enhance the model's predictive accuracy and reduce false positives.