Abdelmoughit El Hassani

Abdelmoughit Elhassani is a passionate and driven member of our Data Science & Cloud Computing team. Currently completing his engineering studies at ENSA Oujda, he brings fresh academic insight combined with hands-on experience in AI, big data, and cloud technologies.

As part of our team, Abdelmoughit contributes to the development of intelligent data solutions and innovative machine learning applications. His recent work includes NLP-based multilingual sentiment analysis using Hugging Face models, medical image diagnostics powered by CNNs and transfer learning, and the integration of AI-driven chatbots using LangChain and vector databases.

He has also worked on projects involving time-series forecasting, audio-driven virtual assistants, and facial emotion detection. His technical interests span from data engineering with Hadoop and Spark to deploying AI microservices with Docker.

Abdelmoughit continues to grow within the team through active project involvement, collaborative problem-solving, and a strong commitment to learning. His foundational training is supported by certifications from IBM, Coursera (Stanford), and 365 Data Science.

Technical Skills: Python, Java, C, R, TensorFlow, PyTorch, Keras, SQL, MongoDB, React, Streamlit, Flask, Django, HTML/CSS, Hadoop, Spark, Kafka, Hive, Docker, LangChain, Power BI
Languages: Arabic (Native), French (Advanced), English (Intermediate)