About Sadia
- create simple and effective dashboards
- analyze your data to draw conclusions
- clean and organize your files
- manage and structure your databases
French
Native or bilingual
English
Fluent
Experience
- SNCF VOYAGEURSData and Reporting OfficerSeptember 2025 - Today (11 months)Saint-Denis, FranceWithin the (MIQM) department of the SNCF Voyageur Materials Directorate, I hold a role focused on the management, quality, and valorization of data used to monitor the production of 10 industrial technical centers in France. I am involved in the entire data processing chain, from collection to making it available in the form of actionable indicators.My data missions include:Data cleaning & data structuring: simplification, normalization, and quality improvement of large files from heterogeneous sources.Automation of dataset updates (scripts, queries, Power BI models, Power Query).Construction of key indicators for analyzing the performance of technical centers.Design of Power BI dashboards for better visualization and interpretation of business data.Technical documentation in the form of operating procedures to ensure the reproducibility and sustainability of reporting.Continuous improvement of the data workflow to reduce manual handling and limit errors.This work-study program strengthens my skills in data management, data visualization, automation, decision support reporting, and data quality, in a demanding industrial environment where information reliability is essential.
- Direction Générale des Finances PubliquesIT Operations and Data ManagementJune 2025 - August 2025 (2 months)Paris, France- Server management (Cobbler, Puppet)- Virtualization (OpenNebula)- Backups and storage (TINA, SAN)
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Education
- BUT Data ScienceUniversité Sorbonne Paris Nord2026Analyse de données Comprendre et exploiter des données Faire des statistiques (moyenne, variance, corrélation…) Interpréter les résultats Objectif : donner du sens aux données Programmation Python (pandas, matplotlib, scikit-learn) R (statistiques) Manipulation de données Objectif : automatiser l’analyse Bases de données SQL (PostgreSQL, MySQL) NoSQL (MongoDB) Création, gestion et interrogation de bases Objectif : stocker et organiser les données Data visualisation Power BI Excel Création de dashboards Objectif : rendre les données compréhensibles Machine Learning Modèles (régression, classification) Prédiction à partir des données Objectif : aider à la prise de décision Informatique générale Programmation Développement web Objectif : comprendre l’environnement technique Gestion de projet & communication Travail en équipe Présentation de résultats Rédaction de rapports Objectif : expliquer simplement des résultats techniques