Samuel Gnap

Samuel Gnap is a seasoned professional in machine learning and data science, currently serving as a Senior Machine Learning Engineer - RM & Pricing at easyJet since October 2019, where R&D projects significantly influence a £5 billion revenue stream, utilizing Python and C++. Previously, Samuel worked as a Senior Data Scientist and Data Scientist at easyJet, collaborating with various departments to provide data-driven solutions using a diverse tech stack including Python, SQL, and PySpark. Additionally, Samuel gained experience as a Data Science Intern at Piano, where a churn prediction model was developed, and as a Trainee at the European Investment Bank, focusing on undisbursed loans management and statistical analysis. Early career experience includes a Summer Internship at AT&T, where reporting automation projects were implemented. Samuel holds a Master of Science in Finance from Aarhus BSS - Aarhus University and a Bachelor of Science in Economics and Business Administration from the same institution.