Freelancer profile translated to English.
Back to original languageAbout Laetitia
Specialized engineer in data engineering, advanced visualization, and analytical application development.
I work on projects involving the collection, processing, structuring, analysis, and visualization of complex data, with a focus on geospatial aspects.
Accustomed to demanding environments, I design interactive analytical interfaces and tailor-made visualization solutions that enable business teams to make informed decisions.
With a background in applied mathematics and data-oriented computer science (data science, data analysis, data engineering, and statistics), I have a profile that combines academic research and operational experience in industrial settings. My experience blends software development, applied research, and collaboration with business experts in demanding environments (R&D, industry, European epidemiological surveillance project).
My research background has taught me to work autonomously on complex topics, structure data engineering approaches, and propose solutions adapted to various contexts. I have developed automated pipelines, data models, and advanced visualization tools.
Discreet and rigorous, I strive to produce reliable and long-term maintainable work. Comfortable with both technical and functional aspects, I can simplify complex subjects and collaborate effectively with different stakeholders. Curious and involved, I quickly acquire new skills to adapt to new environments and challenges.
French
Native or bilingual
English
Conversational
Spanish
Conversational
Can work on-site
Toulouse (up to 20km), Paris (up to 10km), Montpellier (up to 10km), Bordeaux (up to 10km)
Experience
- AIRBUSData EngineerAVIATION AND AEROSPACEOctober 2025 - April 2026 (6 months)Toulouse, FranceJoined a data team to solve specific business problems by processing industrial aeronautical data.Processing, transforming, and leveraging industrial aeronautical data on Airbus's Skywise platform:- Development of processing and transformation pipelines for industrial aeronautical data- Structuring, cleaning, and validating large-volume datasets- Data analysis and creation of dashboards to address business needs
- ExpleoData Engineer / Data Visualization EngineerENVIRONMENTALJanuary 2024 - October 2025 (1 year and 9 months)Toulouse, FranceWorked within the company's innovation department on a project to develop an internal application with a strong analytical and interactive component, with a focus on reusability and generalization to other use cases.Full management of the design and development of an internal tool, involved in all stages: scoping, user discussions, front-end design, and development:- Development of an API for interaction with a predictive model: user parameter transmission, scenario execution, and analysis results retrieval- Full management of the development of a decision support tool focused on visualization and analysis- Analysis and formalization of user requirements- Front-end development and application architecture structuring- Collaboration with technical and non-technical stakeholders
- Université de MontpellierData Research Engineer - Computer Science PhDRESEARCHOctober 2020 - December 2023 (3 years and 2 months)Montpellier, FranceApplied research in information visualization, managing the complete data lifecycle: collection, processing, and utilization.Research work for a computer science PhD focusing on the design of visualization methods, interactive exploration of complex data, and the development of analytical tools within the framework of a European epidemiological surveillance project.- Design and implementation of automated data pipelines (GitLab CI/CD) for multi-source data ingestion- Development of automated data cleaning, transformation, and integration processes- Structuring and modeling of data for analytical exploitation- Design and development of interactive visualization solutions for data exploration- Development of advanced cartographic visualization algorithms- Conducting statistical user studies to evaluate the effectiveness and ergonomics of visualizations- Collaboration with researchers and business users in a European context
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Education
- Computer Science PhDUniversity of Montpellier - I2S Doctoral School2023"Visualisation de données quantitatives géolocalisées" Thèse en informatique sur la visualisation d'informations, au sein de l'équipe ADVANSE (ADVanced Analytics for data SciencE) au LIRMM (Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier), financée par le projet européen MOOD de surveillance épidémiologique.
- MSc MIASHS (Mathematics, Computer Science Applied to Human and Social Sciences)University of Montpellier 32020Formation en alternance (2 semaines en entreprise et 2 semaines à l'Université) ayant pour objectif de former en data science : - Maîtriser les outils de stockage des données (e.g. bases de données SQL et no-SQL) et de traitements des données (e.g. Notebooks, jupyter, Spark, Scikit-learn…) - Élaborer, interpréter et mettre en œuvre des tableaux de bord et des indicateurs statistiques - Effectuer des diagnostics et des prédictions, développer des outils de modélisation, mettre en place des outils d’aide à la décision - Développer des algorithmes permettant le passage à l’échelle des applications - Développer des interfaces dédiées à la visualisation interactive des données (e.g. d3.js) - Acquérir les méthodes nécessaires à la gestion d’un projet d’analyse de données