Naman Jain

Naman Jain is an experienced data science professional with a robust background in applied research, data modeling, and fraud detection. Currently serving as an Applied Researcher at eBay, Naman has developed unsupervised representations of user behavior to enhance fraud detection models and has built comprehensive frameworks to identify prohibited items. Previous roles at PayPal and Invesco highlighted Naman's capabilities in feature engineering for identifying risky transaction patterns and improving data processing efficiency. With a Master of Science in Business Intelligence and Analytics from Stevens Institute of Technology, and additional qualifications in deep learning, Naman has consistently delivered impactful insights and solutions across multiple data-driven environments.