- 🎓 PhD in Biochemistry focused on Metabolomics and Data Analysis.
- 🌱 I’m currently learning advanced statistical methods and machine learning techniques for metabolomics data analysis.
- 👯 I’m open to collaborate on projects involving metabolomics data processing, statistical analysis, and software development.
- 📫 How to reach me: aleks.delta2013@gmail.com
- Multivariate techniques (PCA, PLS, HCA, Discriminant Analysis)
- Data reduction and dimensionality reduction for large-scale datasets (e.g., GC/LC-MS/MS)
- Interpreting multivariate results to explain biological variance, identify biomarkers, and predict outcomes
- Using advanced tools (SIMCA, R, Python) for multivariate data processing and visualization
- Data preprocessing (normalization, scaling, transformation)
- Integrating univariate and multivariate approaches for comprehensive data analysis
- Reporting and presenting complex analysis results through scientific reports, publications, and visual dashboards
- Python, tkinter, plotly, matplotlib, pandas, numpy, R, ggplot2, git, JSON handling, JavaScript, Adobe API, etc
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Feel free to explore my repositories and reach out if you have any questions or collaboration ideas!

