Freelancer profile translated to English.
Back to original languageAbout Leyth
Following a Master's degree in Fundamental and Applied Mathematics, I deepened my skills through a thesis, followed by a second Master's degree in data science that allowed me to specialize in data. My background combines technical expertise, analytical rigor, understanding of business issues, as well as training and managing collaborators on various digital projects.
- Data Engineering : Design and implementation of data architectures, oriented towards business needs. In close collaboration with the client, I implement databases optimized for the extraction of relevant and useful information for decision-making.
- Business & Data Analysis : Interface between data and business teams, I define key performance indicators (KPIs) with clients, write technical specifications, and translate strategic challenges into concrete solutions. I analyze your data to transform these theoretical definitions into actionable results.
- Data Visualization : Development of custom visualization applications, particularly for monitoring performance at a multi-site level. I ensure clear, interactive, and actionable use of your data.
- Data Science : In collaboration with your teams, I analyze your specific needs, select the most appropriate models, and then perform tests using metrics to identify the one that best meets your objectives. My mathematics expertise allows me to understand, adapt, and optimize statistical, machine learning, or artificial intelligence models, in order to transform your raw data into strategic and predictive solutions.
With solid experience in the healthcare, quality, and pharmaceutical and agri-food industries, my skills are fully transferable to any field requiring strategic and effective data utilization.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Marseille (up to 50km), Rouen (up to 50km), Bordeaux (up to 50km)
Experience
- Sanofi GlobalSenior Data Scientist / AnalystPHARMACEUTICALS INDUSTRYMarch 2025 - Today (1 year and 3 months)Gentilly, FranceContinuation of the mission started in September 2023:• Finalization of the data visualization application for monitoring quality performance through a set of KPIs. Application awarded in various international internal competitions.• Business analyst role: Gathering needs from different departments, translating these needs into technical specifications, and writing associated documentation.• Data engineer role: Setting up data pipelines between Snowflake and Power BI (PowerQuery) using Snowflake views (SQL) to automate data ingestion into the final application.• Data analyst role: Modeling and implementing KPIs in Power BI (DAX language). Integration of PowerApp applications into Power BI to meet specific client needs (data collection, chart comments, etc.).• Lead developer role on the project carried out in Agile mode (Scrum methodology).Modification of the application to anticipate system migrations:• Securing the application before migration (avoiding duplicates / verifying available data).• Modification of SQL queries and data pipelines to account for migrations.• Data analyst role on other applications within the migration framework to ensure coherent mapping and implementation of necessary modifications.
- Machine Learning ProjectsData ScientistTECHJanuary 2016 - Today (10 years and 5 months)Paris, FranceLLM Projects (ongoing):• Implementation of various techniques to improve LLM models to create agent platforms for various sectors (Industrial / Retail / Medical sector).• Examples of techniques used: Fine-tuning, RAG (GraphRAG, RAGFlow), multiple agent implementation (crewAI), MCP servers / Function Calling, etc.• Future: Implementation of a web interface to let end-users interact and modify the model (choose agent team / modify prompts / allow specific actions & permissions).Deep Learning Projects:• Supervised computer vision project (YOLO), fine-tuning of YOLO model to focus on license plate recognition.• Unsupervised computer vision project, clustering of seed / plant variety for agri-food R&DKaggle COVID-19 Project Stages:• Upgrade in human biology (technical terms and simplest aspects)• Exploration of the database and understanding of the different variables• Implementation of a theoretical machine learning model from scratch• Testing and improving the modelOther projects:• Semi-supervised deep learning CNN and data augmentation (article "Unsupervised Data Augmentation for Consistency Training" by Xie et al.)• Unsupervised language recognition (mixing model and EM algorithm)• Restricted Boltzmann machine (Application to digit generation and recognition)• Optimization of R Codes using Rcpp and complexity theory (Calculation of the convex hull of points in the plane to illustrate the problem)IOT:• Various projects on RPI / ESPs / Arduino for automation and local hosting• C++ programming for microprocessors• Linux & bash for RPI and CRON jobsServers:• Creation of a home lab containing a principal server, switch, firewall, wifi, etc.• Network management, highly isolated networks, reverse proxy, tunneling, VPN, etc.• Linux (ubuntu server, debian) OS, proxmox hypervisor for high isolation, Docker, Kubernetes
- Sanofi GlobalSenior Data ScientistPHARMACEUTICALS INDUSTRYSeptember 2023 - February 2025 (1 year and 5 months)Gentilly, France• Implementation of a data visualization application for monitoring quality performance through a set of KPIs. Application awarded in various international internal competitions.• Business analyst role: Gathering needs from different departments, translating these needs into technical specifications, and writing associated documentation.• Data engineer role: Setting up data pipelines between Snowflake and Power BI (PowerQuery) using Snowflake views (SQL) to automate data ingestion into the final application.• Data analyst role: Modeling and implementing KPIs in Power BI (DAX language). Integration of PowerApp applications into Power BI to meet specific client needs (data collection, chart comments, etc.).• Lead developer role on the project carried out in Agile mode (Scrum methodology).
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Education
- Master of ScienceUniversité Paris-saclay,2021Master de data science option santé comprenant les compétences principales suivantes : - Comprendre, mettre en oeuvre et développer des méthodes statistiques (mathématiques, numériques, apprentissage statistique) pour la science des données, le deep learning et la grande dimension - Gérer de grandes bases de données - Choisir les algorithmes d’apprentissage automatique et de statistique adaptés à la grande dimension et pertinents suivant les domaines d'application - Développer les programmes informatiques nécessaires à leur mise en oeuvre (python, R, spark) - Partager les résultats obtenus avec les outils de visualisation adéquats
- Master of Mathematics Research and Innovation (RI)Université Paul Sabatier,2016L'objectif du M2 Research and Innovation (RI) est de former des mathématiciens pouvant travailler dans les métiers de la recherche qui peut être de nature académique, théorique et/ou appliquée, ou être tournée vers l'innovation et le développement dans le secteur privé. La 2ème année de Master, entièrement dispensée en anglais, fait suite au Master 1 ESR commun avec le parcours EA. La première année de Master est enseignée en français et anglais. Chaque année de Master est organisée autour de 2 semestres d'enseignement et d'un stage de recherche. The goal is to form mathematicians able to work in the research domains ranging from the academic research (both theoretical and applied) to the innovation and developpement in the private sector. The 2nd year of the Master, taught entirely in English, follows the Master 1 ESR that is common with the EA course. The first year of the Master's is taught in French. Each year of Master is organized around 2 semesters of teaching and a research internship.