Freelancer profile translated to English.
Back to original languageAbout Loïc
Full Stack Data Scientist
🔹 Expertise in Data Science and Machine Learning: With several years of experience as a Data Scientist, I have developed in-depth expertise in data analysis, machine learning, and the deployment of data-driven solutions.
🔹 Impactful Projects: I have worked on various projects, from migrating SAS systems to Dataiku for Orange, to automating translations for Material Bank, and analyzing customer data for a French airline.
🔹 Technical Skills: Proficient in Python, Java, R, SQL, and various libraries such as TensorFlow, Scikit-learn, and Pytorch. Experience with cloud tools like GCP, AWS, and Azure.
🔹 Academic Background: Graduated from ESSEC Business School and Télécom Paris, with a dual program in Data Science at EURECOM and IMT Atlantique.
🔹 Certifications: Certified Dataiku, Google Cloud Platform Professional Data Engineer (in progress).
I am passionate about innovation and solving complex problems through data analysis. Ready to bring added value to your projects!
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- WAVESTONEData AnalystCONSULTING AND AUDITSJanuary 2024 - January 2025 (1 year)Lyon, FranceSNCF: Development of ETL Pipelines and Implementation of Dashboards with PowerBI and PowerQuery
- KeleyData Consultant InternCONSULTING AND AUDITSJanuary 2025 - Today (1 year and 5 months)Paris, France- Evaluation of RAG by comparing retriever embedding reranking (Python AutoRAG, DeepEval)- Deployment of Open WebUI for three different clients (terraform, ECS, Azure App Service)- Orange: Migration from SAS to Dataiku. Creation of a tool on Dataiku to assist in migration automation. Statistical analysis of migration accuracy- Automation of product technical sheet translations, including LLMs, Google Translate, and Deepl. Integration at Material Bank (Python, Streamlit, App Engine)- French airline: Analysis of customer data and identification of undesirable customers. - Attribution model based on user web sessions (Markov Models, Python)
- Groupe CasinoData Scientist InternRETAIL (LARGE RETAILERS)January 2023 - January 2024 (1 year)Paris, France- AutoML on GCP to predict daily stock in 9000 stores (Vertex AI, Looker Studio)- POC algorithm for replacing products in online orders (NLP, Hugging Face, python)- Segmentation of 4M customers on a large dataset (BigQuery)
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Education
- General Engineer DegreeIMT Atlantique2024Concours Mines-Ponts (Télécom Bretagne) Cours pertinents : Advanced Bayesian Statistics, Object Programming, Databases and IHM, Quantum Science
- Master in Data ScienceEurecom2023Double Programme IMT Atlantique Cours pertinents : Machine Learning, Deep Learning, Cloud Computing, Database Management