Med Amine Hamza

Med Amine Hamza is a Data Scientist at EY since March 2021, with prior experience as a Junior Data Scientist and machine learning intern. Notable projects include developing an automatic forecasting system for peaks prediction during an internship at BUSINESS & AI and creating a tax fraud prediction model using machine learning algorithms while interning at the Centre Informatique du Ministère des Finances. Hamza's technical skills encompass Python, Pandas, Numpy, Scikit-Learn, and PCA. Educational qualifications include a Master 2 in Data Science - Actuarial from Le Mans Université and an engineering degree in Computer Science from Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT.