Sanad Ibrahim

Completed an intensive 6-month professional training program focused on data analysis, Python programming, and enterprise application development. • Mastered advanced Excel techniques for business analytics through specialized training focused on industrial applications. • Gained hands-on experience with SQL database management, ETL processes, and business intelligence tool integration. • Developed production-ready applications including AI classification systems, mobile platforms, and data management solutions. • Designed and launched a personal website, building skills in web development, MySQL connections, and content management systems.

• Developed AI and machine learning applications with a focus on natural language processing and predictive modeling. • Developed a sentiment analysis system for customer feedback using NLP techniques, processing text data to extract actionable insights. • Built a predictive model for business operations using TensorFlow and neural networks, achieving accurate forecasting for invoice projections. • Implemented data preprocessing pipelines with scikit-learn for feature engineering and model optimization. • Created a PyQt5 GUI application for real-time predictions with dynamic form validation and location-based filtering.