Computer Engineering Student @ BTU | TÜBİTAK Researcher

Welcome to my GitHub profile! I am a Computer Engineering student specializing in Machine Learning, Graph Neural Networks, and Cyber Security. I focus on building data-driven, AI-based solutions for network anomaly detection and complex data analysis.

• 🛡️ Leading a TÜBİTAK 2209-A Project focused on IoT Intrusion Detection Systems using Graph Neural Networks (GraphSAGE, GCN).
• 🧠 Developing ensemble machine learning pipelines with tools like XGBoost, LightGBM, SMOTE, and SHAP for Explainable AI.
• 🌱 Researching advanced network security algorithms to detect anomalies in highly imbalanced datasets.

• Languages: Python, SQL, C/C#
• Machine Learning & AI: Scikit-Learn, TensorFlow / PyTorch, PyTorch Geometric
• Data Engineering: Pandas, NumPy, SMOTE, SHAP
• Domain Focus: Network Security, Anomaly Detection, Graph Data Analytics

• IoT Intrusion Detection with GNNs My TÜBİTAK 2209-A research project utilizing Graph Neural Networks and ensemble models to detect cyber attacks in the ToN_IoT dataset.
• LiveLife Collaborative development of a comprehensive self-improvement and life-tracking application.
• Intro to Astro 2024 A specialized data project focusing on space exploration concepts.

⭐️ Made with ❤️ by GulizarA1