Freelancer profile translated to English.
Back to original languageAbout Théo
Data Science Engineer with a strong understanding of business challenges, I design and develop reliable, high-performance data solutions that are directly usable by operational teams.
My experience has led me to work on concrete problems: migration and optimization of data pipelines (SAS → Python), automation of processes, and complex data analysis.
I place particular importance on data quality, the robustness of analyses, and understanding business needs. Furthermore, I master the entire data value chain:
- data collection, cleaning, and structuring
- statistical analysis and modeling (machine learning / deep learning)
- ETL pipeline development
- data visualization and results reporting
Proficient in Python (pandas, numpy, TensorFlow, Streamlit, sqlite...) and SQL, I can contribute to both technical missions and analysis and decision-support tasks.
Curious and rigorous, I enjoy engaging in ambitious projects where data has a real impact.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Can work on-site
Paris (up to 50km), Lille (up to 10km)
Experience
- Confédération Nationale du Crédit MutuelQuantitative AnalystBANKING AND INSURANCESeptember 2024 - January 2026 (1 year and 4 months)Paris, FranceMigration of a data transformation and statistical analysis pipeline from SAS to Python, with optimization of processing times and implementation of result validation procedures.Statistical analyses and data validation for predictive models through consistency checks and discrepancy investigations.
- Clermont Foot 63Data ScientistSPORTSAugust 2023 - September 2024 (1 year and 1 month)Clermont-Ferrand, FranceDevelopment of Python scripts for data transformation, cleaning, and structuring for ETL pipelines.Automation of processes and data visualization (Python, JavaScript) for the analysis and sequencing of sports matches.All projects involved handling complex data that required significant data preprocessing and ETL pipeline design.
- Université de LjubljanaInternship on Natural Language ProcessingEDUCATION AND E-LEARNINGApril 2023 - July 2024 (1 year and 3 months)Ljubljana, SloveniaExperimental study of Transformers models and multi-task learning for Natural Language Inference, with scientific reporting of results.The entire project was conducted in Python using the Pytorch library. Benchmarking of available models on HuggingFace was necessary to achieve the best results on this project.
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Education
- Engineering degree in Mathematical Engineering and Data SciencePolytech Clermont2024Diplôme d'ingénieur en
- Preparatory class for engineering schoolsPolytech Lille2021Classe préparatoire aux écoles d'ingénieurs