About Yanis
DataScientist/MLEngineer :
French
Native or bilingual
English
Fluent
Arabic
Conversational
Experience
- TotalEnergies OneTechMachine Learning EngineerENERGY AND UTILITIESSeptember 2022 - August 2025 (2 years and 11 months)Courbevoie, France
MLOps and production of Web Apps and APIs:
• Managed the lifecycle of ML models in productionvia a web monitoring framework, ensuring their performance and explainability (drift detection, shadow testing, retraining strategies, SHAP analysis).• Developed a REST APIto industrialize model inference services and centralize metrics for monitoring tools.• Industrialized data processing and Machine Learning pipelinesby designing and deploying a technical foundation (python library) establishing a common development repository.Advanced modeling for time series:
• Literature review, benchmark, and optimization of probabilistic Deep Learning models(Transformers, Foundation Models) for forecasting the production of wind and solar farms through adaptation of their architectures and fine-tuning.Business knowledge:
• Mastery of the solar and wind energy value chain: from production forecasting to optimization on Spot markets (Day-Ahead, Intraday) and operational risk management (imbalance, curtailment, availability). - Ciril GroupData AnalystSOFTWARE PUBLISHINGAugust 2021 - September 2022 (1 year and 1 month)Villeurbanne, France• Developed decision-making applicationsfor the Executive Committee, team leaders, and operational teams.• **Creation and management of SQL databases**.• Implemented ETL flowsto feed databases and decision-making applications.• **End-to-end management of BI projects**, from defining needs with stakeholders to deploying and maintaining solutions.
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Education
- Engineering degree in Computer Science and Applied MathematicsPolytech Lille2025- Compréhension des fondements du ML à travers des enseignements en probabilités, statistiques, graphes et optimisation. - Acquisition d’un savoir-faire technique en algorithmique, programmation et bonnes pratiques de développement logiciel (CI/CD, conteneurisation, tests unitaires, parallélisation). Exemples de projets académiques réalisés : - Conception et implémentation d’un système RAG reposant sur une base de connaissances PDF. - Programmation parallèle en C et MPI pour systèmes répartis. - Ingénierie des données : développement et déploiement conteneurisé d’un pipeline multi-sources. - Business Intelligence : modélisation et traitement de données e‑commerce, création de tableaux de bord Power BI. - Analyse de données et clustering pour l’ADAPEI 69 afin de segmenter les profils utilisateurs d'un progiciel
- University Diploma in Technology in Statistics and Decision InformaticsIUT Lyon Lumière II2022DUT Statistiques et Informatique Décisionnelle