Data science

I have been active in data science community since 2006. I am interested in diverse applications of data analysis, data visualization and machine learning to problems across disciplines, including brain research, cybersecurity and biomedical industry.

In my work I combine many tools from open source Python data stack (Jupyter, numpy, pandas, matplotlib, scikit-learn). I am also a contributor to some of them (numpy, matplotlib, biopython) and maintain three popular libraries (svgutils, NeuronEAP, SpikeSort).

In terms of methods, I am an expert on data transformations (ETL style or in streaming), time series analysis (for example, prediction and anomaly detection) and neural networks (both recurrent neural networks and MLP).

If you are interested in collaboration, please contact me at: