About

Oumaima Merhbene is a highly skilled software engineer and machine learning specialist with 2.94 years of relevant experience. Currently, she works as a Software Engineer at Holberton School, where she is responsible for developing software solutions that help students learn and grow in their careers. Oumaima's expertise in data science and machine learning is evident from her past work experiences. As a Data Science Intern at Lamsade, she worked on developing Monte-Carlo Tree Search and Deep Learning algorithms to color a graph properly using Artificial Intelligence. At Institut Pasteur de Tunis, she used neural networks (autoencoder) to predict new drug-disease associations and identify new uses for existing drugs. Oumaima has a strong educational background in the field of Artificial Intelligence, Systems, and Data. She completed her Master's degree in Intelligence Artificielle, Système, Données from Université Paris Dauphine in 2020. Prior to that, she completed her Master's degree in Big Data and Bachelor's degree in Applied Mathematics from the same university. She also holds a Baccalauréat in Mathematics from Lycée Mohamed Boudhina Hammamet and has studied Mathematics and Physics at IPEIN - Institut Préparatoire aux Études d'Ingénieur de Nabeul. Oumaima's technical skills include Software Engineering, Machine Learning, Data Science, Deep Learning, Search, and Neural Networks. She is a quick learner and always eager to learn new technologies and skills. Her passion for technology and her strong work ethic make her a valuable asset to any team.