Yousef K.

Built an image classification model using Convolutional Neural Networks (CNN) with TensorFlow/Keras to classify dog breeds from images. Applied data preprocessing, augmentation, and model tuning. Achieved high accuracy through iterative improvements and model evaluation.

LingoGo is a smart language learning analytics system that tracks user performance across different activities such as word presentations, quizzes, and real-life interaction games. I built a machine learning model using Python and Random Forest to analyze individual performance metrics and provide personalized feedback. The project leverages Pandas, scikit-learn, and Jupyter Notebook for data handling and model evaluation. Results are prepared for integration into a real-time dashboard with a React-based frontend.

Software engineering with a focus on data science

Udemy – Complete Machine Learning and Data Science: Zero to Mastery