Freelancer profile translated to English.
Back to original languageAbout Benjamin
Machine Learning Engineer, specialized in the design, training, and deployment of predictive models. Passionate about AI and always eager to learn, I aim to leverage my skills to contribute to innovative data projects with high impact. I am also available for software development missions regardless of the technologies used. I am capable of quickly acquiring new skills, even in technologies I am not familiar with.
French
Native or bilingual
English
Fluent
Can work on-site
Gières (up to 50km), Marseille (up to 50km), Aix-en-Provence (up to 50km), Nice (up to 50km)
Experience
- CEASoftware EngineerCHEMICALOctober 2023 - January 2024 (3 months)91400 Saclay, FranceAssignment in C++ / Java software development with participation in file encoding and interfacing the two languages via JNI. Contribution to back-end and front-end development, setup and automation of tests with Jenkins, as well as continuous integration of various features.
- OgmyosStudy and Development EngineerSOFTWARE PUBLISHINGJanuary 2022 - January 2023 (1 year)13400 Aubagne, FranceParticipation in the development and maintenance of a customizable ERP application coded in Java. Customer relationship management: needs analysis, technical support, and project monitoring. Design and development of websites, as well as deployment and management of application hosting.
- HOPPS GROUPBack-end DeveloperLOGISTICS AND SUPPLY CHAINFebruary 2021 - August 2021 (6 months)Aix-en-Provence, FranceEnd-of-studies internship as a back-end developer (.NET / C#) with participation in the design and development of an agenda application for appointment scheduling. Performed technical support missions to assist clients and ensure service continuity during a cyber attack.
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Education
- Engineering degree, Computer SciencePolytech Marseille2021Diplôme d'ingénieur, Informatique
- Machine Learning EngineerOpenClassrooms2025- Collecte & préparation des données avec Python. - Exploration & analyse : identifier tendances et performances. - Classification machine learning, notamment via Deep Learning. - Création de modèles prédictifs pour détecter opportunités et tendances. - Déploiement cloud des modèles pour automatiser les processus métier. - Visualisation & communication des résultats aux profils techniques et non techniques. - Pilotage de projets data / IA end-to-end