📈 Passionate about Mathematics since High School: I developed a strong interest in models and quantitative analysis, which defined my path toward data science.
🏆 Baccalaureate in Mathematical Sciences: My solid foundation in mathematics enabled me to pursue advanced studies in engineering.
📚 Preparatory Classes for Engineering Schools (MPSI, MP): A rigorous education at Centre Ibn Abdoun, where I tackled complex mathematical challenges and honed my problem-solving skills.
🎖️ National Competitive Exam (CNC) and TIPE: An enriching experience with a TIPE focused on "Detecting People without Masks," highlighting my skills in applied research.
🏫 Data Science Studies at INSEA: A comprehensive program covering data analysis, statistics, programming, and artificial intelligence, preparing me for real-world challenges in data science.
💼 Professional Internships in Data Science:
YaneCode Digital: Creation of Darija datasets for translation with advanced NLP techniques.
3D Smart Factory: Development of a research assistant using an LLM model and RAG paradigm for scientific document analysis.
IWRI–UM6P (Final-Year Project – PFE): Built the “Plateforme-Analyse-Fréquentielle-Hydrologique” — a Streamlit app for hydrological extremes (EVT: GEV/GPD), model selection (AIC/BIC) and uncertainty analysis on real time-series.
🥇 Thesis Defense: Awarded 20/20 (highest distinction). Passionate about R&D and turning data into reliable, measurable products.
🚀 Technical Skills: NLP, Machine Learning, Deep Learning, Data Analysis, Databases, Operational Research.