Polynom
Thierry M. is a Data Scientist R&D at Polynom since September 2021, with prior experience as an Enseignant-Chercheur en Mathématiques et Informatique at Université Paris 2 Panthéon-Assas from September 2018 to August 2020, focusing on the design and implementation of delegation protocols and cryptanalysis of RSA signatures while teaching various mathematics and statistics courses. Earlier, from April 2016 to August 2018, Thierry M. served as a research assistant in computer science at École normale supérieure, contributing to a doctoral thesis involving attacks on elliptic curve-based random number generators. Educational qualifications include a Mastère Spécialisé in Data Science from ENSAE Paris, a PhD in Mathematics and Computer Science from École normale supérieure, a Master's in Mathematics and Computer Science from Université de Yaoundé 1, and a Bachelor's in Mathematics from the same institution.
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Polynom
Our Mission : Discover new growth drivers and ensure their sustainability by helping companies harness the potential of their data. Our Approach : Combine a deep understanding of business specificities with Data Science and Software cutting-edge toolbox mastery. Our Team : We build multidisciplinary task forces of Business Experts, Data Scientists, Product Managers, Developers and Devops to assemble end to end solutions and ensure their sustainability. Our Toolbox : We use cloud computing elasticity, state-of-the-art Scientific Programming and modern Data Visualization to assemble tailored Data Apps. Our Data Apps deliver real-time business insights produced by complex algorithmic cores and display them through ultra-modern interfaces with strong UX/UI. Our Clients scale out from large international corporations like Nestlé, Hermès, Thales, Eiffage, or Saint-Gobain, to mid-cap companies.