Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 3

I learned everything on my own thanks to self-motivation.
I have proven to colleagues that using deep neural networks can be useful and improve results even on small datasets in such specific domains like brain computer interface domain.
I completed 16 online courses and won 3 European research grants.
The project is focused on methods for on-line detection of neural rhythm changes in the motor system with application to brain-computer interfaces.

Responsibilities: 
Application of machine learning and deep learning techniques in different brain-computer interfaces using Python’s Scikit-learn, Keras,  Tensorflow -- research papers reading, deep neural networks implementation, modification, dataset preparation, EDA, networks training;
Time series analysis to assess the depth of anesthesia using brain-computer interfaces (filtration, spectral analysis, time-scale analysis using Python);
Detection and classification of motor imageries in EEG using Python’s Scikit-learn, Keras,  Tensorflow;
Riemannian geometry application for feature extraction and classification in motor imagery based brain-computer interfaces using Python’s pyRiemann;
Implementation of anomaly detection for BCIs using Python’s Scikit-learn;
Spatial brain activity visualization using Python’s Matplotlib, Seaborn, MNE;
Data analysis, statistical calculation and visualization using Python’s Pandas, NumPy, SciPy;
I want to work in a team and learn from more experienced colleagues. I was the only data engineer in the team at my last place. 
I want to share and gain experience. For me product company would be a more preferable choice. But outsource would be also good.