Mathys BAGNAH
Data Scientist – Data & Analytics @ Capgemini
About
Currently pursuing a Master's degree in AI at CentraleSupélec, after completing my engineering studies at ECE Paris. I am passionate about designing and deploying advanced machine learning and deep learning models to solve real-world challenges.I am particularly interested in practical applications to create impactful and trustworthy solutions.🎯 Currently seeking a 6 months internship starting Spring 2026
France
Paris
Information Technology & Services
Traitement automatique du langage naturel, Cloud Computing, Vision par ordinateur, Intelligence artificielle (IA), Modèles de risques, Connaissances en informatique, Rédaction, PySpark, Branding, Gestion des affaires, Programmation informatique, Compétences de coordination, Pipelines de données, Transformation de données, Microsoft Azure, Modélisation prédictive, Statistiques, Bases de données, Compétences analytiques, Analyse des données
Experience

Data Scientist – Data & Analytics
Исси-ле-Мулино
- Design and optimization of a data-driven application, with automated analytics pipelines (Power Automate + Power BI) - Analysis and structuring of AI projects for a banking client to support use-case monitoring, including the AI model lifecycle (build, run, monitoring)

Tutor/Assistant in Information Technology at ECE Paris
Paris, Île-de-France, France
- Assistance and support to students on their projects in Python, C, and C++ - Work closely with students to identify and address their sticking points

Data Scientist
Курбевуа
- Application of Machine Learning algorithms to identify the causes of gender pay disparities and formulate salary adjustments aligned with client-defined equity objectives. - Integration of Python code with Qlik to create visuals adapted to a non-technical client (via gRPC). - Implementation of customized solutions for each client using Qlik Sense and Streamlit. - RegEx: Use of Python and Pandas to dynamically manipulate textual data in QlikSense.
Education

- Machine Learning - Advanced Deep Learning (MVA) - Natural Language Processing - Multi-Agent Systems - Reinforcement Learning - AI for Finance - Stochastic Optimization - Big Data for Artificial Intelligence Annual project : Learning non-monotone preference models to understand a customer base: comparison and benchmarking (CentraleSupélec x Artefact)
Mathys BAGNAH's Contact Information
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