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Mail: [e-mail] / Tel: [téléphone] / LinkedIn : [lien] [nom]
SUMMARY
Data Scientist and Knowledge Engineering Engineer with expertise in data analysis, machine learning, and business using SAP Analytics Cloud and Power BI. Strong foundation in Python, R, SQL, and Big Data frameworks (Hadoop, Spark).
Passionate about transforming data into actionable insights and delivering innovative solutions that support business decision-making.
EDUCATION
École des Sciences de l’Information (ESI) – Rabat, Morocco · 2022–2025
Engineering Degree in Knowledge Engineering and Data Science
- Specialized in Data Science, Machine Learning, Business Intelligence, and Big Data.
- Completed projects in predictive modeling, customer segmentation, and MDM compliance.
- Hands-on experience with Python, R, SQL, Hadoop and Spark.
- Developed strong skills in data analysis, visualization, and project management.
Preparatory Classes (MPSI / MP): · 2019–2022
Intensive training in fundamental mathematics and applied physics
- Focus on problem-solving, analytical reasoning, and scientific rigor.
- Acquired strong foundations in algebra, calculus, probability, algorithms, and mechanics.
- Prepared for entrance exams to top Moroccan engineering schools.
Baccalaureate in Mathematical Sciences (Option A): · 2018–2019
CERTIFICATION
- IBM Data Science Certificat Professionnel
- IBM:Spécialiste en apprentissage automatique - Apprentissage supervisé : régression et classification
- Datacamp: Bayesian Data Analysis in Python
PROFESSIONAL EXPERIENCE
Final Year Internship – LabelVie / Atacadao – Casablanca · Feb 2025 – Aug2025
Project: Customer segmentation using transactional and behavioral data
- Collected, cleaned, and prepared data from ATC+ order system and mobile app
- Applied RFM analysis and K-Means clustering to create actionable customer segments
- Designed customer personas and personalized marketing recommendations
- Communicated insights through interactive dashboards in Power BI
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Application Internship – Skatys – Casablanca · Jun 2024 – Aug 2024
Project: Implementation of SAP Analytics Cloud for dashboard creation
- Gathered and analyzed business requirements for dashboard setup.
- Configured and deployed SAP Analytics Cloud according to company needs.
- Designed and optimized dashboards for sales and social media sentiment analysis.
- Mastered the creation of dynamic and interactive dashboards for data analysis.
Discovery Internship – Directorate of Studies and Financial Forecasts (DEPF) – Rabat · Jul 2023 – Aug 2023
ACADEMIC PROJECTS
- Developed regression models (Linear, Ridge, Lasso) to predict computer prices with improved accuracy.
- Designed MDM processes with Talend and Python to ensure regulatory compliance and enhance data quality.
- Predicted clinical outcomes for cancer patients using genomic data, applying dimensionality reduction and explainability techniques (SHAP).
- Built an intelligent chatbot using Large Language Models (LLMs) and NLP techniques to generate contextual responses in a conversational environment.
SKILLS
- Programming & Data Science: Python (Pandas, · · Data Management: Master Data Management NumPy, Scikit-Learn), R, SQL · (MDM), Compliance, Risk Management
- Data Processing: OpenRefine, Talend, ETL · · Cloud & Deployment: AWS, Azure, Docker,
- Machine Learning: Regression, Classification, · Flask, APIs NLP · · Project Management: Agile (Scrum)
- Visualization: Tableau, Power BI, Matplotlib, · · Soft Skills: Teamwork, Organization, Seaborn, SAP Analytics Cloud · Communication, Adaptability
- Big Data & Databases: Hadoop, Spark,
MongoDB, MySQL, PostgreSQL
LANGUAGES
Arabic: Native speaker
English: Fluent
French: Fluent
HOBBIES & INTERESTS
- Music (Guitar): Passionate about music with several years of guitar practice, combining creativity and discipline .
- Swimming & Sports: Achieved 3rd place in swimming at the Engineering Sports Games (UM6P), reflecting focus, endurance, perseverance and competitive spirit.
- Travel & Cultures: Interested in discovering new places and cultures, fostering adaptability and open-mindedness.
- Technology & Innovation: Passion for exploring emerging trends in AI, Data Science, and cloud computing outside academic work.
