Summary
Nikos Maniatis is a Senior Data Scientist at Procter & Gamble in Geneva with seven years of experience combining physics-driven analytical rigor and applied machine learning. He progressed internally from data analytics to data scientist and now senior data scientist roles at P&G, driving production-grade solutions across commercial teams. He holds a MSc in Data Science and Machine Learning from NTUA and a BSc in Physics, with additional training in quantum machine learning and modern physics that informs his interest in probabilistic and physics-inspired models. Having completed military service in the Hellenic Army signal corps, he brings disciplined project execution and systems-thinking to cross-functional initiatives. Known for turning complex experimental insights into scalable analytics, he blends academic depth with enterprise delivery in consumer goods.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at National & Kapodistrian University of Athens
Summer School Participation Modern Physics at all scales, Summer School Participation Modern Physics at all scales at Leiden University
Certificate of Quantum Excellence Quantum Computing Quantum Machine Learning, Certificate of Quantum Excellence Quantum Computing Quantum Machine Learning at 2021 Qiskit Global Summer School on Quantum Machine Learning
Master's degree Data Science and Machine Learning, Master's degree Data Science and Machine Learning at National Technical University of Athens
English, Greek, French