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Achievement: Pull SharkAchievement: YOLO

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NassAbd/README.md

Hi there 👋, I'm Abdallah Nassur

🎓 I’m currently pursuing a Master’s degree in Big Data & AI at IPSSI (Paris).

💼 I’m also working as a Software Engineer at Powens, "Where Open Finance Meets Embedded Banking".

💡 Passionate about Data Science, Machine Learning, and Web Development, I enjoy turning ideas into real-world projects. Some of my recent works include:

  • Building a full-stack internship aggregator with automated scraping, LLM-powered profile analysis, and a personalized application tracking dashboard.
  • Building a full-stack app with OCR + LLM to extract structured data from resumes.
  • Developing a RAG-based assistant for document search and Q&A.

⚙️ Tech stack I work with: Python, SQL, React.js, MongoDB, Docker, Machine Learning, and Data Analysis.

Curious, rigorous, and always learning, I’m eager to contribute to innovative projects.

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  1. InternApp InternApp Public

    A full-stack project using Python (FastAPI/Playwright) for multi-source scraping of internship listings and a React UI for browsing, filtering, and searching the collected data

    Python

  2. bibliobot bibliobot Public

    A Streamlit application using Groq and CrossRef APIs to automate the literature review process by generating search queries and automatically analyzing academic articles.

    Python

  3. rag_app rag_app Public

    A Retrieval-Augmented Generation (RAG) assistant that lets you query your own codebase or documents using LLMs (from Ollama or Groq).

    Python

  4. mlp_email mlp_email Public

    A pedagogical notebook demonstrating email classification (spam detection) using a Multi-Layer Perceptron (MLP) neural network, covering data cleaning, TF-IDF transformation, and model evaluation.

    Jupyter Notebook

  5. captcha_cnn captcha_cnn Public

    A Convolutional Neural Network (CNN) model built with Keras and TensorFlow for image classification of 12 categories, inspired by reCAPTCHA v2.

    Jupyter Notebook

  6. NeuralNetwork NeuralNetwork Public

    Construction of a neural network from scratch to classify the three species in the Iris dataset, focusing on understanding the underlying mathematics, data preparation (normalization, encoding), an…

    Jupyter Notebook