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sheyda2021/README.md

Hi there πŸ‘‹ I'm Sheyda

πŸŽ“ B.Sc. in Computer Science πŸŽ“ M.Sc. Student in Computer Engineering

I'm passionate about building practical Artificial Intelligence and Machine Learning solutions.

Currently, I'm expanding my knowledge in:

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Computer Vision
  • Speech & Audio Processing
  • Natural Language Processing (NLP)

Programming Languages & Scientific Computing

  • Python
  • C++ *MATLAB

Libraries & Frameworks

  • NumPy
  • Pandas
  • Scikit-learn
  • LightGBM
  • TensorFlow
  • PyTorch
  • OpenCV
  • Matplotlib

Areas of Interest

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Computer Vision
  • Natural Language Processing
  • Speech Processing
  • Data Science
  • Cybersecurity Analytics

Currently Learning

  • Large Language Models (LLMs)
  • MLOps
  • Advanced Deep Learning
  • Explainable AI (XAI)

Goal

My goal is to build intelligent systems that solve real-world problems through machine learning and artificial intelligence while continuously improving my knowledge and engineering skills.

⭐ Thanks for visiting my profile!

Pinned Loading

  1. Network-Traffic-Intrusion-Detection Network-Traffic-Intrusion-Detection Public

    Machine Learning pipeline for network traffic intrusion detection using LightGBM and domain-specific feature engineering.

    Python 1

  2. Hepatic-Fat-Accumulation-Severity-Prediction Hepatic-Fat-Accumulation-Severity-Prediction Public

    Machine learning pipeline for hepatic fat accumulation severity prediction using clinical biomarkers, feature engineering, ensemble learning, and Macro F1 optimization.

    Python 1

  3. Heart-Disease-Risk-Prediction Heart-Disease-Risk-Prediction Public

    Machine learning pipeline for heart disease risk prediction using clinical features, feature engineering, ensemble learning, robust scaling, cross-validation, and MCC-based threshold optimization.

    Python 1