Available to hire
I am a Data Scientist with a strong academic foundation in data analysis and machine learning, currently working at Flybotix. Skilled in Python, data manipulation, and statistical analysis, I have a proven track record of transforming data into actionable insights that drive informed decision-making. Seeking new challenges and opportunities for growth in a Data Scientist role to leverage and expand my skills.
My experience spans building scalable data pipelines, developing machine learning models, and applying advanced NLP techniques. I have contributed to projects in medical diagnostics, industrial inspection, and AI-powered virtual assistants, demonstrating a keen ability to integrate machine learning models into production systems and maintain continuous improvement through MLOps pipelines.
Skills
Language
English
Advanced
French
Intermediate
Arabic
Fluent
Work Experience
Data Scientist at Jakjoud Labs
January 31, 2024 - July 21, 2025Developed a scalable data pipeline for processing and analyzing large volumes of influencer content, integrating advanced data engineering techniques and a machine learning model to predict and enhance content virality. Applied NLP techniques for actionable content recommendations. Built a CNN model for early breast cancer detection from histopathology images, enhancing medical diagnostics. Created an OCR system with Tesseract for extracting blood analysis results with improved accuracy and reliability. Managed data from multiple sources for consistent product click-through rate prediction using machine learning models. Developed and fine-tuned the Llama2 model on medical datasets to build an AI-powered virtual assistant supporting efficient online consultations and patient care.
Data Scientist at Flybotix
January 1, 2024 - PresentDeveloped semantic segmentation models using DeepLabV3+ for high-accuracy rust detection in industrial inspection images and exposed rebar segmentation in concrete structures, supporting early-stage identification and maintenance planning in civil infrastructure. Created an instance segmentation model (YOLOv11) for crack detection on various surfaces from drone videos, aiding automated damage assessment in civil and structural engineering. Integrated trained machine learning models into a Python backend application for seamless model consumption on an ABP framework frontend. Contributed to designing an MLOps pipeline to manage model corrections, annotation conversions, and retraining, enabling continuous learning and performance improvement. Performed maintenance and feature enhancements on .NET backend and Angular frontend applications, improving performance, fixing bugs, and extending functionality.
Data Scientist at Flybotix
January 1, 2024 - PresentDeveloped semantic segmentation models using DeepLabV3+ to detect and segment rust in images for industrial inspection, enabling early detection and maintenance planning. Built an instance segmentation model YOLOv11 for crack detection producing precise masks for automated damage assessment in civil and structural engineering applications. Implemented integration of trained machine learning models into a Python backend application with an ABP Framework frontend, enhancing seamless model consumption. Contributed to MLOps pipeline design, managing post-prediction correction, annotation conversion, and model retraining to improve accuracy with continuous learning. Performed maintenance and feature enhancements on an ABP Framework project, working on both .NET backend and Angular frontend, improving performance, fixing bugs, and extending functionality.
Data Scientist at Jakjoud Labs, Marrakech
January 1, 2024 - August 25, 2025Developed a scalable data pipeline for processing and analyzing large volumes of influencer content, integrating advanced data engineering techniques with machine learning to predict and enhance content virality. Applied NLP techniques to generate actionable content recommendations. Collected, merged, and transformed data from multiple sources to ensure consistency for product click-through rate prediction. Trained machine learning models to derive insights and support data-driven decision-making. Developed and fine-tuned the Llama2 model on medical datasets to create an AI-powered virtual assistant capable of answering patient queries, significantly improving online consultation efficiency and patient care through accurate and timely responses.
Education
Master of Engineering at Moroccan School of Engineering Sciences
January 1, 2018 - December 31, 2023Master of Engineering - Computer Science at Moroccan School of Engineering Sciences
January 1, 2018 - January 1, 2023Qualifications
Scrum Agile by Honoris
January 1, 2022 - December 31, 2022Machine learning specialization
January 1, 2022 - December 31, 2022Deep learning specialization
January 1, 2022 - December 31, 2022ETL and Data Pipelines, Airflow and Kafka
January 1, 2023 - December 31, 2023Scrum Agile
January 1, 2022 - August 25, 2025Deep Learning Specialization - Stanford University & Deep Learning AI
January 1, 2022 - August 25, 2025Machine Learning Specialization - Stanford University & Deep Learning AI
January 1, 2022 - August 25, 2025Industry Experience
Software & Internet, Healthcare, Manufacturing, Real Estate & Construction, Energy & Utilities, Professional Services, Other
Skills
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