{
  "version": 1,
  "siteUrl": "https://alaakaadan.com/",
  "lastUpdated": "2026-11-13",
  "name": "Alaa Aldeen Kaadan",
  "nameArabic": "علاء الدين كعدان",
  "alternateNames": [
    "Alaa Kaadan",
    "علاء كعدان"
  ],
  "summaryArabic": "أنا علاء الدين كعدان، وأُعرف أيضًا باسم علاء كعدان. محلل بيانات وخريج الهندسة المعلوماتية من جامعة دمشق، متخصص في الذكاء الاصطناعي. تشمل أعمالي تحليل البيانات وهندسة البيانات وتطوير الأنظمة الخلفية وتطبيقات تعلم الآلة باستخدام بايثون وSQL.",
  "keywordsArabic": [
    "تحليل البيانات",
    "هندسة البيانات",
    "الذكاء الاصطناعي",
    "تعلم الآلة",
    "تطوير الأنظمة الخلفية",
    "بايثون"
  ],
  "headline": "Data analysis, backend systems, and applied AI",
  "summary": "Data Analyst at Labby and an Information Technology Engineering graduate from Damascus University, specializing in Artificial Intelligence. Experience includes large-scale data analysis, real-time dashboards, data validation, geospatial analysis, backend systems, and applied AI.",
  "email": "agent@alaakaadan.com",
  "image": "assets/alaa-kaadan.jpg",
  "resume": "assets/alaa-kaadan-cv.pdf",
  "profiles": {
    "GitLab": "https://gitlab.com/Alaa-Aldeen-Kaadan",
    "LinkedIn": "https://www.linkedin.com/in/alaa-aldeen-kaadan-795kh"
  },
  "seeking": [
    "Data engineering roles",
    "AI engineering roles"
  ],
  "experience": [
    {
      "organization": "Labby",
      "role": "Data Analyst",
      "startDate": "2026-09",
      "endDate": null,
      "description": "Analyze ride-hailing data, build real-time dashboards using Lightdash and ClickHouse, and perform data validation and diagnostic analysis to investigate data quality and operational performance."
    },
    {
      "organization": "TruePositive",
      "role": "Data Analyst",
      "startDate": "2024-11",
      "endDate": "2026-08",
      "description": "Focused on data analysis and working with large datasets, with contributions to backend and AI/ML tasks."
    }
  ],
  "projects": [
    {
      "id": "khateeb",
      "descriptionArabic": "مشروع خطيب لتدريب النطق العربي باستخدام الذكاء الاصطناعي، والتشكيل الآلي للنصوص، والتعرف على الكلام.",
      "topicsArabic": [
        "معالجة اللغة العربية",
        "التعرف على الكلام",
        "التشكيل الآلي",
        "هندسة البيانات"
      ],
      "name": "Khateeb",
      "role": "Back-end and AI Engineer",
      "startDate": "2024-10",
      "endDate": "2025-08",
      "description": "An AI application to train precise, diacritized Arabic pronunciation, addressing text diacritization and audio transcription.",
      "contribution": "Contributed across data engineering, algorithm development, and backend architecture. The team built a custom training dataset, adapted two variations of the Needleman-Wunsch algorithm, and deployed a resource-efficient backend for limited hardware.",
      "topics": [
        "Speech and language",
        "Data engineering",
        "Algorithms",
        "Backend systems"
      ],
      "links": {
        "Website": "http://khteeb.ai"
      }
    },
    {
      "id": "bike-rides",
      "descriptionArabic": "تحليل نحو 6.5 مليون رحلة دراجة في واشنطن باستخدام بيانات المحطات والطقس، مع التحليل الجغرافي وتصور البيانات ببايثون.",
      "topicsArabic": [
        "تحليل البيانات",
        "التحليل الجغرافي",
        "تصور البيانات",
        "بايثون"
      ],
      "name": "Washington Daily Bike Rides",
      "role": "Data Analyst",
      "startDate": "2025-06",
      "endDate": "2025-07",
      "description": "Analysis of approximately 6.5 million bike ride records, augmented with bike station metadata and daily weather data.",
      "contribution": "Described the dataset and investigated the relationships between daily revenue and time, location, proximity to bus stations, and bike type, using Python visualization and geospatial tools including GeoPandas.",
      "topics": [
        "Python",
        "GeoPandas",
        "Data visualization",
        "Geospatial analysis"
      ],
      "notes": "The dashboard graphic on the portfolio is illustrative. Specific findings, revenue uplift, and other business impact metrics have not been published on this site.",
      "links": {}
    },
    {
      "id": "deepfake",
      "descriptionArabic": "مشروع لكشف التزييف العميق للصوت، مع واجهة لنموذج الذكاء الاصطناعي ونظام خلفي باستخدام جانغو وإدارة المصادقة وبيانات المستخدمين.",
      "topicsArabic": [
        "التزييف العميق للصوت",
        "تعلم الآلة",
        "تطوير الأنظمة الخلفية",
        "واجهات برمجة التطبيقات"
      ],
      "name": "Deepfake Audio Detection",
      "role": "Back-end Engineer",
      "startDate": "2024-07",
      "endDate": "2024-08",
      "description": "A mobile application project for peer-to-peer calls with deepfake audio detection. The system paired a model API with a Django application for user data and history.",
      "contribution": "Worked on Django REST Framework, authentication with Knox, a voice-based authentication flow using the AI model and Google's voice recognition API, Swagger UI documentation, and model deployment.",
      "topics": [
        "Django REST Framework",
        "Authentication",
        "API design",
        "Model deployment"
      ],
      "links": {}
    },
    {
      "id": "fifty-nine-plus-one",
      "descriptionArabic": "تطبيق ويب وروبوت تيليغرام لاستخراج البيانات من ملفات PDF ومعالجة المدخلات، باستخدام بايثون وجانغو.",
      "topicsArabic": [
        "استخراج البيانات",
        "ملفات PDF",
        "روبوت تيليغرام",
        "بايثون",
        "جانغو"
      ],
      "name": "Fifty Nine Plus One",
      "role": "Full-stack Developer",
      "startDate": "2023-10",
      "endDate": "2023-12",
      "description": "A production web product and Telegram bot involving PDF table extraction, data processing, and user input handling.",
      "contribution": "Worked with web scraping, PDF table extraction using Pandas and Tabula, JavaScript, Telegram bots, deployment, Django admin customization, and cleaning and interpreting user input.",
      "topics": [
        "Django",
        "Python",
        "PDF data extraction",
        "Telegram bots"
      ],
      "links": {
        "Website": "https://fifty-nine-plus-one-frontend.alaa-kadaan-900.workers.dev/",
        "Telegram bot": "https://t.me/ITEMarks_bot"
      }
    }
  ],
  "education": {
    "institution": "Damascus University",
    "degree": "Information Technology Engineering",
    "specialization": "Artificial Intelligence"
  },
  "certificates": [
    "CS50x",
    "CS50w",
    "Al Basil Certificate"
  ],
  "achievements": [
    "5th place, DCPC 2023",
    "27th place, SCPC 2023"
  ],
  "skills": {
    "Data analysis": [
      "Python",
      "SQL",
      "Pandas",
      "GeoPandas",
      "Plotly",
      "Lightdash",
      "Data cleaning and validation",
      "Exploratory and diagnostic analysis"
    ],
    "Databases": [
      "ClickHouse",
      "DuckDB",
      "PostgreSQL",
      "MySQL",
      "SQLite"
    ],
    "AI and backend": [
      "Machine learning",
      "Neural networks",
      "Feature engineering",
      "Django",
      "Django REST Framework",
      "Knox",
      "Model deployment"
    ],
    "Infrastructure": [
      "Docker",
      "Bash",
      "Server setup"
    ]
  },
  "volunteering": [
    {
      "organization": "Red Blood Cells (RBCs) Team",
      "role": "Volunteer, coordinator, board member, and team leader",
      "startDate": "2020-10",
      "endDate": "2025-08",
      "description": "Progressed through lecture writing, IT and archive management, coordination, board membership, and team leadership. Led the faculty IT unit."
    },
    {
      "organization": "ACM",
      "role": "Competitive Programming Coach",
      "startDate": "2023-01",
      "endDate": "2024-08",
      "description": "Coached students in programming, algorithm design, optimization, graph theory, greedy algorithms, and competition preparation."
    }
  ]
}