Freelancer profile translated to English.

Description

Are you looking to fully exploit your data to improve your performance and automate your processes? I put my expertise in Data Science and Artificial Intelligence at your service to transform your data into concrete decision levers. A graduate of a Master's degree in Data Science & AI, I have led projects ranging from predictive modeling (Random Forest, XGBoost, etc.) to the design of OCR systems in Python with Tesseract and OpenCV, which have reduced document processing time by 30%. I master data analysis and visualization (Python, Pandas, Matplotlib, Seaborn, Power BI), database management and optimization (SQL Server, MySQL, Oracle) as well as integration into technical environments such as Docker and Hadoop. My added value? A complete approach, from data cleaning to production, to deliver reliable, usable and adapted solutions to your business objectives. I work on projects such as process automation, the creation of interactive dashboards, segmentation and scoring, or the development of custom AI tools.

Languages

Arabic
Native or bilingual
French
Fluent
English
Conversational

Workplace preferences

Remote only

Primarily works remotely

ALSA Casabus Transport
End of Studies Master Project (Internship)
February 2025 - July 2025 (5 months)
Development and deployment of an artificial intelligence solution to analyze driving behaviors and identify the Design of a complete pipeline: EDA, source fusion, feature engineering, imbalance processing (SMOTE), modeling (Random Forest, XGBoost, ...) and validation on real data. Creation of an interactive interface for field exploitation. Technical environment: Python (Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn), SQL server, Jupyter Notebooks.
Python SQL Server HTML/CSS/JS Machine learning Data analysis
Al-Maghrib (BAM),
Internship in Data Science and Artificial Intelligence-Barid
March 2024 - June 2024 (3 months)
Morocco
Design and deployment of an optical character recognition (OCR) system to automate the processing of mail. Contribution to the improvement of the postal sorting process, reducing human errors and increasing the speed of processing. Integration of the OCR system with existing BAM technologies, using Python, OpenCV, and Tesseract. Results: Acceleration of postal processing by 30% and reduction of sorting errors.