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elza02/README.md

πŸ‘‹ Hello, I'm Zakaria!

Welcome to my GitHub profile! I'm a Data Scientist, Machine Learning Enthusiast, and a Graphic Designer with over 2 years of experience. I love turning data into actionable insights and creating models that make the impossible possible!

πŸ’» Programming Languages

As a data scientist and machine learning enthusiast, I have honed my skills in various programming languages that are essential for my work. Each language plays a crucial role in my toolkit, allowing me to tackle complex data challenges and develop innovative solutions. Here are the languages I utilize to transform intricate problems into actionable insights:

Python Java JavaScript PowerShell Bash Swift YAML

πŸ”§ Frameworks

Frameworks are the backbone of my development process, providing the structure and tools necessary for building scalable, efficient applications. My expertise spans a broad spectrum of frameworks, each chosen for its ability to facilitate rapid development and deliver robust functionality:

React TensorFlow npm Git Visual Studio Code Vue.js Django Firebase Bootstrap Node.js Flask Flutter

🌟 Featured Projects

Here are a few projects I’m proud of:

  • Relevance of Retrieval | Automated Assessment of Answer Relevance in QA Systems πŸ“š Description:
    • The project focuses on scoring the relevance of answers to French-language queries using a hierarchical architecture based on the pre-trained CamemBERT model. The solution leverages a combination of dimensional reduction, dropout regularization, and layer normalization to produce relevance scores on a scale from 0 to 1.
  • PDFQuest | Retrieval-Augmented Generation (RAG) system for generating responses based on PDF content πŸ“š Description:
    • Employed Langchain for tokenization and sentence-transformers/all-MiniLM-L6-v2 (Hugging Face) for embedding.
    • Implemented FAISS for efficient storage and retrieval of similar text chunks.
    • Integrated LLaMA 3 (70B) with GROQ API to generate accurate and context-aware responses.
  • MatchVision | Football Analytics System πŸ“ˆ Description:
    • Real-Time Football Analytics: A platform for analyzing matches, players, and teams with live updates and insights.
    • Big Data Pipeline: Utilizes Kafka, Spark, MongoDB, and React for seamless data processing and visualization.

πŸ“Š GitHub Stats


ab-talbi

GitHub Most Used Languages
Note: This chart is only a metric of which languages my public code on GitHub consists of and does not reflect my experience or skill level.

🌐 Connect with Me

To connect with me, you can find my professional profile and contact details on LinkedIn. Feel free to reach out for collaborations, opportunities, or just to exchange ideas. Let's innovate together!

Feel free to reach out if you have any questions or just want to chat about data science, AI, or design!


Thanks for stopping by, and happy coding! 😊

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  1. PDFQuest PDFQuest Public

    PowerShell 3

  2. Automated-Assessment-of-Answer-Relevance-in-Question-Answering-Systems-A-Machine-Learning-Approach Automated-Assessment-of-Answer-Relevance-in-Question-Answering-Systems-A-Machine-Learning-Approach Public

    Jupyter Notebook

  3. MatchVision MatchVision Public

    Forked from H-devigner/Football-System-analytics

    JavaScript

  4. Face-Detection-System Face-Detection-System Public

    Forked from ayoub2352/Face-Detection-System

    Python