Rahul Gupta is a Data Engineer in Capital One's Center for Machine Learning, focusing heavily on back-end development and model creation. His primary efforts include building an Algorithmic IT Operations (AIOps) platform that utilizes a combination of batch and streaming data with Machine Learning capabilities to improve the stability of Capital One services and overall customer experience.
Use of H2O for Mobile Transaction Anomaly detection
Effective volume anomaly detection presents unique challenges when monitoring customer transaction volumes across thousands of platforms and systems. We overcome this by using H2O, building on open source tools, and delivering machine learning anomaly detection for enterprise scale. Come hear how we model, visualize then automatically alert on anomalous Mobile app volumes in real-time