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Cuneyt-Sahin/README.md

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🙋‍♂️ Aʙᴏᴜᴛ Mᴇ

I am a 3rd-year Computer Engineering student with a deep passion for Artificial Intelligence and Machine Learning. My core focus is transforming raw, complex data into intelligent, predictive systems and building end-to-end AI solutions.

  • 🧠 My Focus: Architecting robust ML models, handling complex data imbalances (SMOTE), and deploying predictive algorithms like XGBoost and Isolation Forest.

  • 💼 Experience: Building AI-driven anomaly detection systems, benchmarking machine learning models, and developing custom Python data pipelines.

  • 🌱 Currently exploring: Advanced Deep Learning architectures and Computer Vision techniques.

  • 💬 Ask me about: Machine Learning pipelines, Data Science (Pandas/NumPy), LLM integration, and Python.

  • 📫 Reach me at: cuneytsahin.17.17@gmail.com
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🚀 Fᴇᴀᴛᴜʀᴇᴅ Pʀᴏᴊᴇᴄᴛs

🏆 Project Name 📝 Description 🛠️ Technologies 🔗 Links
🕵️‍♂️ Fraud Detection Benchmark An end-to-end machine learning pipeline featuring a custom user interface, designed to detect fraudulent transactions and anomalies in banking data. Python Machine Learning UI Design ▶️ Live Demo

💻 Source Code
🎙️ Speaker Identification System A GUI-based application utilizing AI to analyze audio signals, extract features, and accurately recognize specific speakers. Python AI / ML Audio Processing GUI ▶️ Live Demo

💻 Source Code
⚙️ Early Fault Detection System An IoT-based predictive maintenance system that analyzes simulated bearing data via MQTT to detect early hardware failures and trigger real-time audio alerts. Python IoT MQTT Predictive Maintenance ▶️ Live Demo

💻 Source Code

Tᴇᴄʜ sᴛᴀᴄᴋ & Lᴀᴛᴇsᴛ ʙʟᴏɢs

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⚡ Current Learning

  • 🧠 Deepening my knowledge in Machine Learning and AI, specifically focusing on predictive modeling and local LLM integrations.
  • 🖥️ Exploring advanced QML & Python patterns for building seamless, cross-platform desktop applications.
  • ⚙️ Improving my skills in Data Science and Web Automation using tools like Pandas, Scikit-learn, and Playwright.
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🌟 Tʜᴏᴜɢʜᴛ ᴏғ ᴛʜᴇ Dᴀʏ 🌟

🤝 Cᴏɴɴᴇᴄᴛ Wɪᴛʜ Mᴇ 🤝


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  1. fraud-detection-benchmark fraud-detection-benchmark Public

    Rule-based vs Machine Learning based Credit Card Fraud Detection System benchmark project.

    Python 1

  2. Early-Fault-Detection-System-with-Audio-Alerts Early-Fault-Detection-System-with-Audio-Alerts Public

    "An end-to-end IoT Predictive Maintenance Platform using MQTT & AI (Isolation Forest) to detect bearing faults in real-time. Features a Streamlit dashboard, Digital Twin simulation, and audible ala…

    Python 2

  3. GUI-Based-Audio-Analysis-and-Speaker-Identification-System- GUI-Based-Audio-Analysis-and-Speaker-Identification-System- Public

    A machine-learning-powered speaker identification system with a graphical user interface (GUI) for real-time audio visualization and analysis. The system analyzes the voice to identify who is speak…

    Python

  4. qml-price-tracker-telegram qml-price-tracker-telegram Public

    🏷️ A user-friendly desktop application developed with QML to track product prices and send instant alerts via Telegram. 🔔

    QML 1

  5. ensgld/LearningCoachApp ensgld/LearningCoachApp Public

    Dart 2