Freelancer profile translated to English.
Back to original languageAbout Yanis
Hello and welcome to my profile 👋
ML Engineer and Data Scientist with 4 years of experience, including 3 years in the R&D of a multinational energy company, I work on the entire data lifecycle: from pipeline design to model deployment and decision-making reporting.
Here are the missions I regularly undertake:
🤖 Data Scientist / Machine Learning Engineer
- Development of Machine Learning and Deep Learning models adapted to business needs
- Time series modeling and forecasting
- Deployment, monitoring, drift detection, and retraining
- Benchmarking and evaluation: backtesting, shadow testing
- LLM integration and RAG pipeline development
🏗️ Data Engineer (GCP)
- Design of automated and robust data pipelines
- Multi-source integration (API, ETL), orchestration (Airflow)
- Data modeling: Conceptual, data marts, data warehouses
- Industrialization and automation of large-scale processing
📊 Data Analyst
- Definition and scope of needs
- Creation of decision-making dashboards (Power BI, Tableau)
- Definition and monitoring of business and operational KPIs
- Reporting and simplification for non-technical stakeholders
I approach data from a business perspective: understanding the real need before building the solution. What matters is the impact! 📈
What I bring beyond technical skills: rapid skill development on new topics 🚀, a true understanding of business challenges 🧩, and the ability to bridge the gap between decision-makers and data 🤝.
Autonomous, proactive, delivery-oriented. I integrate quickly into teams and take charge of projects.
If you are looking for a partner who takes ownership of your challenges rather than just a technical executor, let's talk!
French
Native or bilingual
English
Native or bilingual
Arabic
Basic
Can work on-site
Paris (up to 50km), Marseille (up to 50km), Toulouse (up to 50km), Lyon (up to 50km), Lille (up to 50km)
Experience
- TotalEnergies OneTechMachine Learning EngineerENERGY AND UTILITIESSeptember 2022 - August 2025 (2 years and 11 months)Courbevoie, France
MLOps and deployment of Web Apps and APIs:
•Management of the ML model lifecycle in productionvia a web monitoring framework, ensuring their performance and explainability (drift detection, shadow testing, retraining strategies, SHAP analysis).•Development of a REST APIto industrialize model inference service and centralize metrics for monitoring tools.•Industrialization of data processing and Machine Learning pipelinesthrough the design and deployment of a technical foundation (python library) establishing a common development repository.Advanced time series modeling:
•Literature review, benchmarking, and optimization of probabilistic Deep Learning models(Transformers, Foundation Models) for forecasting the production of wind and solar farms by adapting their architectures and fine-tuning.Business knowledge:
• Mastery of the solar and wind energy value chain: from production forecasting to optimization on the 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•Development of decision-making applicationsfor the Executive Committee, team leaders, and operational teams•Creation and management of SQL databases•Implementation of ETL flowsto feed databases and decision-making applications• **End-to-end management of BI projects**, from needs definition with stakeholders to solution deployment and maintenance
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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