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Achievement: Pull SharkAchievement: Quickdraw

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jwiekiera/README.md

🚀 Joanna Wiekiera | Machine Learning Specialist

👋 Hi! I'm a passionate AI engineer driven by solving complex data challenges. I specialize in anomaly detection, continual learning, and deep learning, with experience in satellite data analysis, quantum computing, and AI in education. My goal is to contribute to cutting-edge AI research and drive technological advancements.

🎓 Education

  • MSc in Data Science (03.2025 – Present) | Silesian University of Technology
  • BSc in Computer Science (10.2021 – 02.2025) | Silesian University of Technology
    • Bachelor thesis: Continual learning for satellite data analysis (Grade: 5.0/5.0)
    • Master thesis: Continual learning for real-world data (ongoing)

💡 Skills

  • Languages & Tools: Python (PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Matplotlib), R, Matlab, C++, SQL, Git
  • Machine Learning & AI: Continual Learning, Anomaly Detection, Time Series Analysis, Deep Learning, Computer Vision
  • Software Development: OOP, UML, MySQL

🔬 Experience

  • KP Labs | Machine Learning Specialist (07.2025 – Present)
    • Super-resolution, Satellite Imagery
  • Rockwell Automation | Machine Learning Engineer, Internship (11.2024 – 06.2025)
    • Anomaly Detection in Telemetry Data (PLC), Deep Learning, Digital Twins
  • KP Labs | Machine Learning Engineer, Internship (07.2024 – 08.2024)
    • Anomaly Detection in Telemetry Data, Computer Vision, Autoencoders

🏆 Achievements

  • 🏅 HackYeah 2025 Winner (Biohacking category) – Europe’s largest stationary hackathon
  • 🏅 HackYeah 2024 Winner (IBM Quantum AI category) – Europe’s largest stationary hackathon
  • 🥇 BIT Festival Hackathon 2023 – First place for data analysis and algorithm design
  • 🏆 Rockwell Automation Scholarship – Best engineering thesis award
  • 🎓 NTDD Intel x Perspektywy Scholarship
  • 🌟 SkillUp 2024 Google Mentoring Program

🚀 Projects

  • Continual Learning for Satellite Data Analysis (Research & Scientific Paper in Progress)
  • Deep Learning for Aortic Arch Calcification Detection (Research & Scientific Paper in Progress)
  • Histopathological Image Classification (GitHub Repo)
  • Autonomous Mobile Robot for Obstacle Avoidance (GitHub Repo)
  • Vigenère Cipher – Cryptanalysis & Decryption (GitHub Repo)

📫 Connect with me:

LinkedIn
HackerRank

Popular repositories Loading

  1. vigenere vigenere Public

    Encryption, decryption and cryptanalysis of the Vigenère cipher.

    C++ 2

  2. datacamp datacamp Public

    Projects and note from DataCamp.

    Jupyter Notebook 1

  3. histopathological-classification histopathological-classification Public

    Multiclass classification of histopathological images of lung and colon tissue

    Jupyter Notebook 1

  4. jwiekiera jwiekiera Public

    Config files for my GitHub profile.

  5. driving-robot driving-robot Public

    The project aims to create a mobile robot. The device can overcome obstacles detected by sensors (e.g., walls, objects on the ground). The robot moves using mechanical wheels.

    C++