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  • Poznan, Poland

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michal-owsiak/README.md

Data Engineer with hands-on experience in building and maintaining data pipelines, SQL workflows, and cloud-native data platforms.
Strong analytical background with growing interest in Data Science and applied machine learning.

⚙️ Tech stack:

Data Engineering: Snowflake dbt SQL Python

DS & ML: Scikit-learn TensorFlow | Keras Pandas NumPy SciPy Matplotlib Seaborn

📫 micowsiak@gmail.com

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  1. eeg-emotional-arousal-classification eeg-emotional-arousal-classification Public

    EEG classification project comparing neural network (MLP) with classical machine learning models using EEG bandpower features. Includes training pipeline, performance analysis, and visualizations.

    Jupyter Notebook 2

  2. swps-university-research-part-II swps-university-research-part-II Public

    NLP project focused on word frequency analysis, correlation computations, and sentiment classification using transformer-based model (EmoRoBERTa) and DeepL API.

    Jupyter Notebook

  3. swps-university-research swps-university-research Public

    Python-based replication of the data analysis from my master's thesis. Includes preprocessing and statistical modeling (ANOVA, regression) of psychological survey data

    Jupyter Notebook