Polynom
Maylis Felgines is a Data Scientist at Polynom since June 2022, previously working as Chargée de Missions Industrie 4.0 at Bel from September 2021 to March 2022. Maylis has experience in mechanical design as an Assistant ingénieur en conception mécanique at eXcent - Ingénierie Industrielle from September 2019 to February 2020, focusing on industrial tool design and project management. Earlier experience includes an operational role at Sleever International in January 2017. Maylis holds an engineering degree from Université de Technologie de Compiègne and completed data science training at DataCamp. Maylis also obtained a scientific Baccalauréat from Lycée Marguerite Yourcenar.
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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.