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FurkannOzyurt/README.md

Hello! 👋 I'm Furkan Özyurt

I am a recent graduate in Department of Computer Engineering – Programme of Artificial Intelligence from Hacettepe University, with a solid foundation in machine learning, deep learning, computer vision, natural language processing, and data science.


🚀 Skills

  • Data Science & AI: Data analysis, data mining, data-intensive applications, machine learning, deep learning, computer vision, natural language processing.
  • Python: Proficient in AI libraries and frameworks including TensorFlow and PyTorch.
  • SQL: Writing efficient queries for data manipulation, extraction, and reporting.
  • Java: Strong grasp of object-oriented programming principles.
  • C++: Experienced in algorithms and data structures for efficient problem-solving.
  • Optimization & Cloud: Experience with Pyomo for optimization tasks and AWS for cloud deployment.

📫 Contact

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  1. Pair-Trading-Strategy Pair-Trading-Strategy Public

    Pair trading strategy integrates multiple components, including technical analysis indicators, machine learning models, and risk management techniques.

    Jupyter Notebook

  2. Open-Set-Classification Open-Set-Classification Public

    The primary objective of this project was to classify plant disease data, where the challenge was to identify not only known classes but also detect unknown classes during the testing phase.

    Jupyter Notebook

  3. Action-Recognition-on-House-Activities Action-Recognition-on-House-Activities Public

    This project aimed to develop an action recognition model utilizing the Toyota SmartHome dataset.

    Jupyter Notebook

  4. Design-Project-Derm-Assist Design-Project-Derm-Assist Public

    An AI-powered dermatology assistant that combines image classification (ViT-Base) and language generation (RAG + LLM) to deliver preliminary, clinically-informed insights based on user-submitted im…

    Jupyter Notebook

  5. mobile_game_analytics mobile_game_analytics Public

    Exploratory data analysis, A/B testing, and predictive modeling for a mobile game. The project includes KPI tracking (DAU, ARPU, ARPDAU, Retention, ROAS), evaluation of experiment results on engage…

    Jupyter Notebook

  6. linkedin-repo-role-recommender-agent linkedin-repo-role-recommender-agent Public

    An AI agent built with MCP and LangGraph that analyzes GitHub repositories of LinkedIn users and recommends the top 3 most suitable IT roles for them.

    Python 1 1