Patrick Hogan

Patrick Hogan is a senior solution architect at NVIDIA, who also manages the Financial Services Data Science & Solution Architect team for North America. The team focuses on GPU acceleration in data analytics, machine learning, as well as deep learning within FSI. Patrick spent much of his career working in the financial services industry, where he managed technology for equities, program trading, and derivatives environments. It was his passion for mathematics and data analysis that led to the director-level position in hedge fund administration and designing complex enterprise data warehouses for self-service reporting and trade reconciliation. Throughout Patrick’s career, he’s never strayed far from his roots in software development, which led him to NVIDIA.
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Posts by Patrick Hogan

Technical Walkthrough 1

Deep Learning vs Machine Learning Challenger Models for Default Risk with Explainability

Data Scientists and Machine Learning Engineers often face the dilemma of “machine learning compared to deep learning” classifier usage for their business... 18 MIN READ
Technical Walkthrough 0

Explaining and Accelerating Machine Learning for Loan Delinquencies

Machine learning (ML) can extract deep, complex insights out of data to help make decisions. In many cases, using more advanced models delivers real... 16 MIN READ