Freelancer profile translated to English.
Back to original languageAbout Bastien
I enjoy transforming data into concrete decision-making levers. My role is to enhance and leverage information to help organizations better understand their activities and act more effectively.
Curious and rigorous, I enjoy both analyzing business needs and building reliable solutions. I use Python, SQL, and data visualization tools to automate, model, and make data accessible to everyone.
My work ranges from data processing to the implementation of advanced models. Passionate about the evolution of artificial intelligence, I explore new ways to use data to create more intelligent solutions tailored to business needs.
French
Native or bilingual
Can work on-site
Nantes (up to 50km)
Experience
- PAPRECData AnalystENVIRONMENTALNovember 2025 - Today (9 months)Saint-Herblain, France- Analysis, cleaning, and validation of large volumes of third-party data (clients/suppliers) in a master data structuring context- Identification and treatment of anomalies, duplicates, and inconsistencies using automated analyses- Development of Python scripts to automate checks, speed up processing, and ensure data reliability- Utilization of external sources (INSEE) to enrich, verify, and consolidate reference data.- Structuring and preparation of datasets before integration into the group's information systems- Collaboration with business and IT teams to improve data quality and associated processes
- Data Analyst / Data ScientistFreelanceJanuary 2023 - October 2025 (2 years and 9 months)Nantes, France
- Collection, cleaning, and validation of data from SQL databases and external APIs
- Exploratory analysis and statistical studies to identify key trends and correlations
- Design and training of Machine Learning models (classification, regression, clustering)
- Optimization and automation of analytical pipelines to industrialize data processing
- Development of Deep Learning models for image recognition and classification (fine-tuning of CNNs)
- Implementation of MLOps practices: performance monitoring, drift detection, and deployment of prediction APIs
- Creation of interactive dashboards (PowerBI, Tableau, Qlik Sense) for presenting analyses
- Simplification of insights for non-technical stakeholders and writing functional documentation
- SUEZ FranceData AnalystJanuary 2019 - September 2022 (3 years and 8 months)Nantes, France
- Development of a predictive program to automate mid-year estimated water charges [90% estimation accuracy and 50% reduction in processing time for business teams]
- Structuring of monthly reporting dedicated to billing processes, variance and impact analysis
- Management of continuous improvement projects in collaboration with IT teams, focusing on business billing and customer management processes (including Chorus, E-invoicing)
- Proposals and implementation of solutions for task automation aimed at increasing time spent on analysis, meeting internal control challenges, and ensuring compliance with customer contractual commitments
- Writing business procedures to provide meaning in a context of transformation and continuous improvement
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Education
- Data Science – Master's DegreeCentraleSupélec2024Nettoyage et analyse de données brutes / Élaboration de modèles de Machine Learning et Deep Learning / Implémentation complète de MLOps avec CI/CD
- Data Analyst – Bachelor's DegreeENSAE Paris2023Analyse de données avec Python (nettoyage, tests statistiques, prédictions avec Machine Learning) / Gestion de bases de données SQL / Création de tableaux de bord interactifs avec Tableau et PowerBI