A dedicated data science student with expertise in statistical analysis, machine learning, and data visualization. Proficient in Python, R, and various data manipulation tools, I am passionate about translating complex datasets into impactful insights. I am eager to contribute my expertise and learn in dynamic, data-driven environments.
My journey in computer science has led me to develop a passion for Data Science, and I am now excited to transition into this field, leveraging my skills to solve real-world problems and drive data-driven decisions.
- Description: Developed a classification model to predict employee promotions using various algorithms, including Random Forest and XGBoost. Employed techniques like SMOTE for class balancing and TPOT for automated model optimization.
- Technologies: Python, Scikit-learn, TPOT, SMOTE
- Repository: GitHub Link
- Description: Created a deep learning model for classifying automobile damage images, implementing CNN architectures to improve accuracy.
- Technologies: Python, TensorFlow, Keras
- Repository: GitHub Link
- Description: Developed a chatbot for the Moroccan tourism sector to assist users in finding information about destinations, activities, and accommodations.
- Technologies: Python, LAMA
- Repository: GitHub Link
- Description: Designed a computer vision system to analyze football matches, including player movements and game statistics.
- Technologies: YOLO, OpenCV, Python
- Repository: GitHub Link