Data Engineer with experience in SQL-based data processing, reporting automation, and Python scripting. Strong analytical background and a growing focus on data science and ML.
⚙️ Tech stack:
Languages:
Python
T-SQL
R
Data & ML:
TensorFlow
scikit-learn
SciPy
Pandas
NumPy
Matplotlib
Seaborn
Let's connect:
📫 [email protected]
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eeg-emotional-arousal-classification
eeg-emotional-arousal-classification PublicEEG classification project comparing neural network (MLP) with classical machine learning models using EEG bandpower features. Includes training pipeline, performance analysis, and visualizations.
Jupyter Notebook 1
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swps-university-research-part-II
swps-university-research-part-II PublicNLP project focused on word frequency analysis, correlation computations, and sentiment classification using transformer-based model (EmoRoBERTa).
Jupyter Notebook
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swps-university-research
swps-university-research PublicPython-based replication of the data analysis from my master's thesis. Includes preprocessing and statistical modeling (ANOVA, regression) of psychological survey data
Jupyter Notebook
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If the problem persists, check the GitHub status page or contact support.
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