Summary
Nicholas Ampazis is an Associate Professor and seasoned data scientist with 13 years of academic and applied experience in machine learning, neural networks, recommender systems and graph mining. Based in Greece, he combines a strong research pedigree (PhD in Neural Computing) with hands-on R&D and consulting for industry, including work on personalized web systems and participation in the Netflix Prize team. He has led and administered an academic department while maintaining a focus on real-world deployments of adaptive systems, NLP and social network analysis. Known for translating advanced pattern-recognition methods into practical solutions, he also brings entrepreneurial experience as founder of an early personalized RSS aggregator.
13 years of coding experience