لم يكتب نبذة شخصيةI'm a Machine Learning practitioner certified by Egypt's National Telecommunication Institute (NTI, Dec 2025) with expertise in transforming complex data into actionable insights. What sets me apart is my relentless pursuit of excellence through rigorous problem-solving—I don't just analyze numbers; I engineer solutions that drive real impact. My technical arsenal spans the full machine learning pipeline: from data preprocessing and advanced feature engineering to deploying ensemble methods (XGBoost, CatBoost, LightGBM, Random Forest), hyperparameter tuning (GridSearchCV, RandomizedSearchCV), and handling imbalanced datasets through SMOTE and class weighting. I'm proficient in both supervised learning (regression, classification with SVM, KNN, Decision Trees) and unsupervised techniques (K-Means, DBSCAN, PCA), with hands-on experience building neural networks using TensorFlow/Keras. My technical foundation is rooted in Biomedical Engineering (Very Good, Class Rank 3rd, El Shorouk Academy 2025), where I learned to bridge complex systems with practical solutions. I specialize in data management and analysis, having worked extensively with multi-criteria decision models (TOPSIS, Entropy, CRITIC, WSM) and built robust SQL pipelines using MySQL (joins, CTEs, window functions) for data cleaning and trend analysis. My biomedical background gives me unique insight into healthcare data, from managing large-scale device datasets to developing prototypes involving ECG circuit design, Arduino-based systems, and real-time signal processing in MATLAB.