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