Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0

I take a part in conferences, from regional to international levels. I write articles to the peer-reviewed journals. Have successful scientific achievements.
Experience: 
- processing big astronomy data (large stellar catalogues and images), in particular: pre-processing, filtration, systematic errors calibration and classification results for a few billions of objects
- applying machine learning algorithms for classification (SVM and NN mostly) and data engineering (outlier detection with OCSVM, feature selection with autoencoders)
- signal and image processing with standard mathematical methods (wavelets, shapelets and other transforms, filtration)

Skills: 
- programming with Python (numpy, pandas, scipy, scikit-learn, keras, matplotlib, astropy)
- scripting with bash, gnuplot

Good knowledge of numerical methods, mathematical modeling, statistics, machine learning. Familiar with C\C++.

I'm student, but I already have an experience in team and individual scientific projects.
Expectations: applying theoretical knowledge to the real-world problems and developing my own skills in Data Science. 
I don't know a lot of things, but I always open to the new knowledge and experience!