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Achievement: Pull SharkAchievement: Pair Extraordinaire

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Achievement: Pull SharkAchievement: Pair Extraordinaire

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WalidAlsafadi/README.md

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Walid Alsafadi

Data Science & AI Student

I am a passionate Data Science and Artificial Intelligence student with a focus on machine learning, deep learning, natural language processing (NLP), and computer vision. Skilled in implementing AI solutions using Python, TensorFlow, and Scikit-learn, I have experience in tasks such as regression analysis, time series forecasting, and sentiment analysis. Additionally, I am adept at API integration, web scraping, and working with large language models (LLMs). My ultimate goal is to develop transformative AI solutions that tackle global challenges​

📍 Location: Gaza Strip, Palestine

🎓 Education: BSc in Data Science & Artificial Intelligence, University College of Applied Sciences

🎖️ Goal: Tackling global challenges through transformative AI solutions

🛠️ Skills & Expertise

  • Programming Languages: Python , HTML , JavaScript , CSS , PostgreSQL , C++

  • Frameworks & Libraries: name , name , name , name , name , name , name , name , name

  • Key Skills:

    • Machine learning: Regression, classification, clustering, time series forecasting
    • Deep learning: Neural networks, computer vision, LLM-based applications
    • NLP: Text classification, sentiment analysis, web scraping for text data
    • Data Visualization: Dashboards, business intelligence tools

  • Cloud Platforms: name , name

🔬 Interests

I am deeply interested in:

  • AI in Healthcare: Advancing diagnostics and predictive analytics
  • NLP Applications: Integrating large language models with API-driven systems
  • Scalable AI Solutions: Leveraging cloud platforms for efficient deployment
  • Research in Machine Learning: Exploring cutting-edge advancements and publishing impactful findings

📫 How to Reach Me

Feel free to connect with me on LinkedIn or email me for collaboration opportunities, questions, or just to chat about AI and data science!

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  1. Haqiqa-Arabic-Fake-News-Detector Haqiqa-Arabic-Fake-News-Detector Public

    Production-ready Arabic fake news detection system using state-of-the-art AraBERT and XGBoost models. Achieves over 96% F1-score on 13,750 verified news samples. Includes pre-trained models, full t…

    Jupyter Notebook 4

  2. PostWar-Building-Assessment-ES PostWar-Building-Assessment-ES Public

    Rule-based expert system with 40+ logic rules and fuzzy inputs to assess and prioritize post-war building reconstruction in Gaza. Includes a professional Streamlit UI and validation notebook.

    Jupyter Notebook 2

  3. ECommerce-Sales-Warehouse ECommerce-Sales-Warehouse Public

    ETL pipeline and data warehouse for e-commerce analytics using PostgreSQL and Python. Includes transformation scripts, schema modeling, and business insights via SQL.

    Jupyter Notebook 2 2

  4. Store-Sales-TS-Forecasting Store-Sales-TS-Forecasting Public

    Use machine learning to predict grocery sales

    Jupyter Notebook 2

  5. Gaza-Twitter-LLM-Sentiment Gaza-Twitter-LLM-Sentiment Public

    Analyzes Gaza-related tweets using LLaMA-3 via GroqCloud. Combines Selenium scraping with LLM-powered sentiment analysis to surface public emotion trends.

    Jupyter Notebook 4

  6. BBC-News-Sentiment-Analysis BBC-News-Sentiment-Analysis Public

    Sentiment analysis on BBC News headlines and descriptions using VADER. Classifies text as Positive, Negative, or Neutral based on compound scores.

    Jupyter Notebook 5