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Candidat : [nom] · [e-mail]
Reconstitution du 4 septembre 2026.
[nom] Email: [e-mail]
Data Scientist Mobile: [téléphone]
Agadir, Morocco GitHub : [lien]
LinkedIn : [lien]
Summary
Data Scientist specializing in computer vision and deep learning, with hands-on experience building end-to-end
ML pipelines from data processing to deployment. Delivered production-ready AI systems across agriculture, medical 3D reconstruction, and industrial domains with a focus on performance and scalability.
Education
Mohammadia School of Engineers (EMI) Rabat, Morocco
Engineering Degree in Modeling and Computer Science 2021 – 2024
Technical Skills
Languages: Python, Java, SQL
Modeling: Deep Learning, Computer Vision, 3D Point Clouds, Tracking, Segmentation, Detection
Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, OpenCV, NumPy, Pandas
MLOps & Deployment: FastAPI, Docker, REST APIs, Model Monitoring
Databases & Backend: PostgreSQL, Spring Boot
Operating Systems: Linux
Professional Experience
PCS AGRI Agadir, Morocco
Data Scientist Intern July 2025 – November 2025
Computer Vision Seed Analysis Platform: Designed and deployed a production-grade AI system to count seeds, measure morphological features, and evaluate sample purity. Trained and optimized Mask R-CNN and YOLO models, exposed inference through FastAPI, and integrated with a web frontend, reducing manual inspection time and human error.
Tomato Tracking and Yield Analytics: Built a robust multi-object tracking pipeline using BoT-SORT, YOLO, Mask R-CNN, and MiDaS to track tomatoes across complex video streams. Delivered accurate counts by maturity stage and category, enabling data-driven agricultural decision-making.
3D SMART FACTORY Mohammedia, Morocco
Data Scientist – Final Year Project February 2024 – June 2024
3D Dental Point Cloud Completion: Developed a deep learning system to reconstruct incomplete 3D dental scans, significantly improving diagnostic reliability. Managed the full ML lifecycle including dataset creation, preprocessing, training, and evaluation.
Advanced Deep Learning Models: Customized and trained PoinTr (Transformer-based), DGCNN, and FoldingNet architectures in PyTorch. Achieved a Chamfer Distance of 0.003 on scans with up to 33% missing scan regions.
Deployment and Evaluation: Delivered a functional desktop prototype using PyQt5, incorporating shadow deployment, performance monitoring, and inference benchmarking to validate real-world readiness.
AZURA Agadir, Morocco
Web Developer Intern August 2023 – September 2023
Industrial Web Application: Developed a full-stack application for package inspection and validation using Vue.js, Spring Boot, and PostgreSQL. Automated reporting pipelines and improved traceability of logistics operations.
GISMA Agadir, Morocco
Java Developer Intern July 2022 – August 2022
Enterprise Desktop Application: Built a Java Swing application for real estate contract management with full
CRUD functionality, database integration, and user access control.
Certifications
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TensorFlow 2.0 – Deep Learning and Artificial Intelligence
AWS Certified Machine Learning Engineer – Associate (in progress)
Languages
English: Professional Proficiency
French: Professional Proficiency
Arabic: Native
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