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  "basics": {
    "name": "Ganna Khaled",
    "summary": "AI-focused student with a computer engineering foundation and practical skills in Java, C++, and Python for technical problem solving and organized project work. Contributes to team projects by staying composed under pressure, managing deadlines, and communicating clearly while turning technical concepts into practical results. Brings a learning mindset suited to AI development tasks that require structured thinking, adaptability, and steady follow-through.",
    "location": "Cairo, Egypt",
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        "network": "GitHub",
        "username": "GannaKhaled0",
        "url": "https://github.com/GannaKhaled0"
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  "education": [
    {
      "institution": "Ain Shams University",
      "degree": "Bachelor or Engineering",
      "field": "Computer and Systems Engineering",
      "startDate": "2022",
      "current": true
    }
  ],
  "skills": [
    "Python",
    "Machine Learning",
    "SQL",
    "Data Analysis",
    "Data Visualization",
    "Problem Solving",
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    "Time Management",
    "Java",
    "C++",
    "New skill",
    "OOP",
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  "languages": [
    {
      "language": "Arabic",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Intermediate"
    },
    {
      "language": "German",
      "fluency": "Basic"
    }
  ],
  "projects": [
    {
      "name": "Egyptian Tech Salary Predictor",
      "description": "A Big Data/Machine Learning project that predicts expected monthly salaries for tech jobs in Egypt using real-world job market data collected from multiple sources and prepared through a complete data pipeline.",
      "url": "https://github.com/youssefehab241/egypt-tech-salary-predictor",
      "highlights": [
        "Collected real tech job data from the Egyptian market",
        "Cleaned and normalized salary and job information",
        "Standardized job titles into a limited set of tech categories",
        "Built intermediate datasets for training and dashboard usage",
        "Trained machine learning models for salary prediction"
      ],
      "keywords": [
        "Streamlit",
        "matplotlib",
        "scikit-learn",
        "xgboost"
      ],
      "endDate": "2026-04"
    },
    {
      "name": "Hivee Social Media Platform",
      "description": "Hivee is a feature-rich desktop social media platform simulation designed to replicate core modern social networking features. Engineered with a modular, object-oriented architecture, the application delivers a responsive event-driven user interface backed by a robust, persistent SQL database to manage complex user interactions and data storage seamlessly.",
      "url": "https://github.com/eng-ahmedsaeed/Hivee",
      "highlights": [
        "Architected and built a fully normalized relational database system, transitioning concepts seamlessly from initial Entity-Relationship Diagrams (ERDs).",
        "Guaranteed robust data consistency and reliability through strict primary and foreign key constraints alongside performance-tuned SQL queries."
      ],
      "keywords": [
        "SQL Database Systems",
        "Object-Oriented Programming (OOP)",
        "Event-Driven Programming"
      ],
      "endDate": "2026-05"
    }
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          "name": "Artificial Intelligence Intern",
          "summary": "Information Technology Institute · 2026-07",
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            "Learned to build, train, and deploy AI models using TensorFlow and other supported frameworks",
            "Built, trained, and deployed AI models using TensorFlow and other supported frameworks for practical application.",
            "Applied data preprocessing techniques with tools like TensorFlow and Scikit-learn to prepare datasets for model training.",
            "Analyzed AI implementation strategies to deepen understanding of practical applications in real-world scenarios."
          ],
          "date": "2026-07"
        }
      ]
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    "yearsOfExperience": 0,
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    "highestEducation": "Bachelor's"
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