لم يكتب نبذة شخصيةArtificial Intelligence student with practical experience in Machine Learning, Data Analysis, and Big Data technologies. Skilled in Python, Pandas, NumPy, Scikit-learn , Keras & TensorFlow SQL, PySpark, and Databricks for building end-to-end data solutions, including data preprocessing, exploratory data analysis (EDA), feature engineering, predictive modeling, and model evaluation. Successfully completed professional Big Data training and developed a capstone project based on the US Accidents dataset containing over 7.7 million records. Performed large-scale data cleaning, transformation, visualization, and exploratory analysis using Apache Spark and Databricks, extracting actionable insights and building machine learning models for predictive analysis. Implemented multiple machine learning projects covering classification and regression using Support Vector Machine (SVM), Random Forest, Gradient Boosting, Linear Regression, and Decision Trees while applying K-Fold Cross Validation, feature engineering, model optimization, and performance evaluation techniques. In addition to AI and data technologies, I have experience in front-end and cross-platform mobile application development using HTML, CSS, JavaScript, Angular, and Flutter. I develop responsive web interfaces and build Flutter applications with clean architecture, modern UI design, state management, and API integration, focusing on performance, scalability, and user experience. Notable projects include FitLife, a comprehensive fitness platform featuring BMI calculation, calorie and nutrition tracking, health monitoring, personalized workout recommendations, and an AI-powered fitness assistant (Coachly) designed to deliver intelligent workout plans, nutrition guidance, and personalized health recommendations. Passionate about Artificial Intelligence, Machine Learning, Data Analysis, Big Data, and Software Engineering, continuously expanding my technical expertise while building practical solutions that solve real-world problems.