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AhmedRaisi/README.md

πŸ‘‹ Hi, I’m Ahmed Al Raisi

@AhmedRaisi

Visitor Count


I'm a passionate developer with an interest in full-stack development and exploring machine learning models.




πŸš€ About Me

I’m interested in full-stack development and exploring machine learning models.
Currently learning various different front-end and back-end frameworks.
Looking to collaborate on any of my repos or any full-stack projects.
πŸ“« How to reach me: LinkedIn | Email

πŸ’» Tech Stacks

Computer Languages

Python JavaScript Java C++ C OCaml

Frontend

HTML5 CSS3 React Vue.js Axios

Backend

Django Node.js Express.js Docker GraphQL JWT Nodemon

Databases

MySQL MongoDB

Machine Learning

TensorFlow Keras Scikit Learn Pandas NumPy

Project Management

GitHub Asana Jira DevOps

Testing/QA

CI/CD Jest ESLint Prettier




πŸ“Š My GitHub Stats

AhmedRaisi's GitHub stats



πŸ”₯ Streak Stats

GitHub Streak



πŸ’» Most Used Languages

Top Langs

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  1. Tarsho Tarsho Public

    A vibrant marketplace app for entrepreneurs to offer services, supporting local businesses with a user-friendly platform.

    JavaScript 5 6

  2. PersonalPortfolio PersonalPortfolio Public

    My Portfolio: A showcase of my full-stack development expertise, featuring diverse projects and highlighting my skills in modern web and software technologies.

    JavaScript 2

  3. Customer-Support-Automation-Bot Customer-Support-Automation-Bot Public

    Python-based RPA bot automating customer support using NLP and predefined templates for efficient, consistent responses to common queries, streamlining customer service operations.

    Python 1

  4. MachineLearning-Models MachineLearning-Models Public

    Exploring machine learning model creation, focusing on understanding the math and algorithms behind them.

    Python

  5. MLStockPredictor MLStockPredictor Public

    A web app showcasing machine learning models for stock price prediction with interactive visualizations.

    JavaScript 2 1

  6. 2048AIOptimization 2048AIOptimization Public

    Enhanced AI for 2048 using the minimax algorithm with new heuristics for optimal play. Tests various strategies to maximize scores and efficiency.

    Jupyter Notebook