Hermann Siebenou has a diverse work experience spanning various industries. Hermann started their career in 2015 as a Soutien Scolaire at Acadomia, where they provided academic support. In the same year, they also worked as a Preparateur de Commandes at SILGOM for a period of two years. Hermann also undertook a Projet tuteuré during their time at SILGOM. In 2017, they joined Capsugel as a stagiaire Data Scientist for a six-month contract. Later that year, they joined OpenHealth Company as a Chargé de production et d'études Statistiques. In 2018, Hermann joined Splio as an Alternant Data Scientist R&D and worked in that role until September 2019. Hermann then transitioned to the role of Data Scientist R&D and held that position until November 2021. Currently, they work at Splio as an MLOps / Software Engineer, starting in November 2021.
Hermann Siebenou has a strong education background in mathematics, computer science, and statistics. Hermann completed their expert degree in Data Science, focusing on Machine Learning and Deep Learning, at the Institut national des Sciences appliquées de Rouen from 2018 to 2019. Prior to that, they obtained a Master's degree in Statistical Modeling and Decision-Making Applications from the University of South Brittany, where they studied mathematics, computer science, and statistics from 2015 to 2017. Hermann also holds a Bachelor's degree in Mathematics, Computer Science, and Statistics, specializing in statistics, from the same university, which they completed from 2014 to 2015. Hermann began their higher education journey at Université Aboubekr Belkaid, where they obtained a Bachelor's degree in General Mathematics from 2011 to 2014.
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