Summary
Noa Schnor is a Food Data Scientist with eight years' experience blending deep nutrition expertise (PhD, MSc, BSc) with practical data analytics and modelling skills gained through a Higher Diploma in Data Analytics and hands-on work at Creme Global. She pivoted from clinical and academic nutrition roles into data science after relocating to Ireland in 2014, learning Python and SQL and graduating with a top GPA, demonstrating strong adaptability and technical rigor. At Creme Global she applies scientific modelling and analytics to drive data-informed decisions in the food sector, leveraging her background in bioinformatics and public health nutrition. Bilingual in Portuguese and English with EU citizenship, she pairs domain knowledge—from bariatric and renal dietetics to community nutrition—with data-driven approaches. Outside work she maintains a GitHub profile showcasing projects that bridge nutrition science and data processing, reflecting a practical, research-led approach to solving food industry problems.
8 years of coding experience
PhD and Master of Food and Nutrition, PhD and Master of Food and Nutrition at Universidade Estadual Paulista Júlio de Mesquita Filho
Database Fundamentals, Database Fundamentals at eCollege
Bioinformatics tools Science/Genetic, Bioinformatics tools Science/Genetic at Universidade Metodista de Piracicaba
HD Computer Science - Data Analytics Data Processing; Computer Science, HD Computer Science - Data Analytics Data Processing; Computer Science at Galway-Mayo Institute of Technology
University Extension Postgraduate in psychological intervention for the healthcare Psicologia, University Extension Postgraduate in psychological intervention for the healthcare Psicologia at Universidade Estadual de Campinas
Editorial short courses
MUST Training Dietetics/Dietitian, MUST Training Dietetics/Dietitian at HSELanD
English, Portuguese