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As a AI & Machine Learning Engineer, I hold a Postgraduate Degree in AI & Machine Learning. I work as an IT freelancer, allowing me to bridge theory…
depuis la création du compte
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As a AI & Machine Learning Engineer, I hold a Postgraduate Degree in AI & Machine
Learning. I work as an IT freelancer, allowing me to bridge theory with practice
while developing cutting-edge technological solutions. Passionate about applied AI, data science, and
deep learning, I am eager to apply my skills and gain hands-on experience in AI model development,
data-driven decision-making, and intelligent automation to drive impactful innovation.
• Developed an AI-driven medical assistant using a Retrieval-Augmented Generation (RAG) architecture, leveraging the Merck Manual of Diagnosis Therapy as a comprehensive dataset.
• Conducted advanced data preparation (semantic chunking, embedding generation, vector indexing with FAISS) to enable high-precision retrieval of medical knowledge.
• Implemented and refined prompt engineering strategies (five variations tested) to optimize the relevance and factual accuracy of LLM-generated answers.
• Evaluated outputs using quantitative metrics (groundedness, relevance) and integrated ac- tionable insights for future deployment in clinical settings.
• Demonstrated a rigorous, evidence-based approach to applying generative AI in biomedical contexts, highlighting adaptability and critical thinking—key competencies for research.
" Selma Oasis Beauté " is a cosmetic brand made in Morocco that specializes in high-end hair care without silicone or paraben, engaging in an eco-responsible approach. The brand rigorously chooses raw materials such as Damascus rose and precious oils, beneficial for their effectiveness and respect, embodying the perfect alliance between luxury, naturalness and environmental commitment.
For this business analytics project, I analyzed sales and customer trends for a restaurant chain to improve strategic decision-making. The objective was to identify profitable dishes, optimize menu offerings, and understand customer behavior patterns.
Key Contributions:
Conducted EDA to uncover seasonal trends and peak order periods
Identified top-performing items and potential for cross-selling opportunities
Provided data-driven recommendations for pricing, menu adjustments, and customer targeting
Developed a user-friendly presentation with clear visual storytelling
Project delivered using a low-code approach with full documentation and visual insights
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