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Abbasi0Abolfazl/README.md

👋 Hi, I'm Abolfazl

🎯 Quant Programmer | AI & Machine Learning Enthusiast | Financial Market Specialist

I’m passionate about building intelligent systems for financial market analysis and decision-making.
My main focus is combining data science, machine learning, and trading strategies to develop automated and optimized systems.


🛠 Skills & Tools

  • Languages: Python, JavaScript
  • AI & Machine Learning: scikit-learn, TensorFlow, PyTorch
  • Data Analysis: Pandas, NumPy, Matplotlib
  • Data Processing: APIs, Web Scraping, Selenium
  • Other: Git, Docker, Linux

Featured Projects

  • ai-itinerary-generator
    AI-powered travel itinerary generator built with TypeScript, Cloudflare Workers, Firestore, and OpenAI’s GPT-4. Offers asynchronous request handling, real-time job status tracking, and comprehensive validation.

  • business_analysis_agent
    A Python-based AI agent leveraging LangGraph to analyze daily sales and cost data and deliver actionable business insights and recommendations.

  • stock-market-pattern-detection
    A Jupyter Notebook project that detects stock market patterns using YOLOv8, combining computer vision techniques with financial data analysis.

  • CommentAnalyzer
    A machine learning tool for Instagram comment analysis: sentiment detection, question identification, and topic modeling using LDA, LSA, NMF, and BERT.


📈 GitHub Stats

GitHub Stats


📬 Contact Me


⭐ If you find my projects interesting, feel free to Star them to support further development!

Pinned Loading

  1. stock-market-pattern-detection stock-market-pattern-detection Public

    detect stock market patterns using YOLOv8

    Jupyter Notebook 1 1

  2. CommentAnalyzer CommentAnalyzer Public

    machine learning project designed to analyze Instagram comments for sentiment detection, question identification, and topic modeling. Utilizing algorithms such as LDA, LSA, NMF, and BERT, CommentAn…

    Jupyter Notebook 1

  3. Rag Rag Public

    Forked from mehrzads/Rag

    This project is a RAG system that reads PDF files and answers questions using Ollama models. Its goal is to extract information and provide accurate responses to users.

    Python

  4. forexfactory_calender forexfactory_calender Public

    Python script to fetch and process Forex events from ForexFactory

    Python