Freelancer profile translated to English.
Back to original languageAbout Moulay Ismail
Senior Data Scientist, I design and deploy machine learning and computer vision solutions for the exploitation of complex data. I work with both 3D data from LiDAR point clouds and medical or industrial images, with strong expertise in modeling, automation, and industrialization of processes.
Throughout my experiences, I have developed solutions around the analysis of structured, semi-structured, and unstructured data, deep learning, 3D reconstruction, image segmentation, and model deployment on cloud and containerized environments.
I support my clients end-to-end, from data exploration and preparation to production, with a clear objective: to transform complex data into robust, useful, and business-exploitable solutions.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- SNCF Réseau3D Data Engineer / Data ScientistFebruary 2024 - March 2026 (2 years and 1 month)Paris, France• Analysis and processing of point cloud data within the framework of the railway digital twin.• Application of machine learning models for the analysis of the railway environment.• Participation in the Scan-to-BIM project: automation of BIM model generation from point clouds.• Point cloud object localization and 3D reconstruction.• Cross-referencing data for metadata extraction and development of tools for BIM. 03/2024 – present Paris, France10/2017 – 02/2024 Versailles, France02/2016 – 08/2017 Suresnes, France
- Alter SolutionsData ScientistOctober 2017 - February 2024 (6 years and 4 months)
- Intervention as a data science consultant for clients in the energy, transport, medical, innovation, and industry sectors.
- Analysis and valorization of 3D data, particularly from point clouds.
- Design and development of solutions in data science, machine learning, and advanced modeling.
- Processing of large volumes of structured, semi-structured, and unstructured data.
- Implementation of deep learning models and optimization algorithms.
- Automation, reliability, and industrialization of data processing pipelines.
- Deployment of solutions on cloud environments and containerized architectures.
- Participation in R&D activities around innovative solutions in artificial intelligence and data analysis.
- PhilipsData Scientist / Computer Vision EngineerFebruary 2016 - August 2017 (1 year and 6 months)• Processing and analysis of medical imaging data (CT scans, ultrasound).• Development of machine learning models for medical image segmentation and classification.• Design of 3D models of organs from ultrasound images.• Research and development in computer vision applied to healthcare.
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Education
- Master of Computer ScienceUniversité Paris Cité2017Master Computer Vision (Formation Continue)
- Master of Arts in StatisticsSorbonne Université UPMC2015Master Statistique et Science des Données