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FurkannOzyurt/README.md

Hello! 👋 I'm Furkan Özyurt.

I am a recent graduate in Artificial Intelligence Engineering from Hacettepe University, with a strong foundation in machine learning, deep learning, data science, computer vision and natural language processing. I am proficient in Python, including AI libraries like TensorFlow and PyTorch, and have solid experience in Java and C++ for object-oriented and algorithm-focused development.

🚀 Skills

  • Data Science: Completed courses in data analysis, data mining, data-intensive applications, machine learning, deep learning, and computer vision. Continuously improving skills in these areas.

  • Python: Proficient in Python for solving artificial intelligence problems, with experience in popular libraries and frameworks like TensorFlow and PyTorch.

  • Java: Skilled in Java programming, with a strong grasp of object-oriented programming principles.

  • C++: Experienced in utilizing C++ for implementing efficient data structures and algorithms, and solving complex computational problems.

📫 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. 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

  3. HUMAN-ACTION-RECOGNITION-ON-VOLLEYBALL-VIDEOS HUMAN-ACTION-RECOGNITION-ON-VOLLEYBALL-VIDEOS Public

    Our objective is to accurately classify nine fundamental movements: waiting, setting, digging, blocking, jumping, falling, spiking, moving, and standing.

    Jupyter Notebook

  4. Predicting-CO2-Emissions-of-Passenger-Cars Predicting-CO2-Emissions-of-Passenger-Cars Public

    Forked from BenguBarisBalkan/prediction-of-co2-emissions-of-passanger-cars

    In this project, we are predicting the CO2 emissions of passenger cars by using real world data.

    Jupyter Notebook

  5. 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

  6. 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…