- 🔭 I’m currently a Ph.d student at Um6p College of computing.
- My Area of Research is : Data Marketplaces, Data Valuation, Economics, Machine Learning
- I'm a graduated Data Science Engineer From Ensias Rabat.
- ❤️ I'm interested in ML/DL/NLP/Data Engineer/Data Science
- ❤️ My favorite language: Python
- 🌱 I’m currently learning and improving myself
- 👯 I’m always looking to collaborate with: scientist and researchers from any field
- 💬 Ask me about: anything, I am happy to help
- 🌍 I like research field and innovate and I'd like to enrich my phd by exchanging with international and national phds and reseachers.
- 💜 Interests: Reading, travel, sport, Maths
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💻 Programming Skills:
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🧠 Machine Learning:
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📖 Natural Language Processing:
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🤖 Deep Learning:
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📊 Statistics:
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🤝 Collaboration Tools:
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💡 Problem-Solving & Analytical Thinking:
Led the development of an intelligent chatbot for the Department of Economic Studies and Financial Forecast (DEPF) to address inquiries and enhance user engagement. Technologies: ChatBot, ChatGPT, Pinecone, Streamlit, Langchain, NLP, DeepLearning
Developed a real-time Traffic Sign Recognition System using Convolutional Neural Networks (CNN) and implemented it on a Field-Programmable Gate Array (FPGA) platform. Technologies: Deep Learning, FPGA, Computer Vision, CNN, YOLOV5, Image Recognition
Collaborated on data engineering processes, including data cleaning, Apache Airflow workflow management, AWS cloud infrastructure, and data lake architecture. Technologies: AWS, SQL, Apache Airflow, Python
Developed an application for screening resumes by implementing machine learning models and natural language processing techniques. Technologies: Python, Streamlit, NLTK, scikit-learn, Pandas, KNN Multilabeling
Conducted sentiment analysis on product reviews using various NLP techniques and machine learning models. Technologies: NLP, BeautifulSoup, Tokenization, Lemmatization, TF-IDF, Multinomial Naive Bayes
developed deep learning models and implemented data augmentation techniques using various libraries, including TensorFlow and PyTorch, for Arabic Optical Character Recognition (OCR).
