Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1

1 year of working as Data Scientist on several projects.
Conducting research in the field of GANs and the applications in CV.
Several ML projects, including:
- NLP projects (information retrieval, sentiment analysis, document comparison) - worked with NLTK, spaCy, gensim, 
- CV projects - with classical (OpenCV) and deep learning approaches (frameworks - Keras, PyTorch),
- anomaly detection.

Bayesian statistics, feature engineering, data visualization, regression analysis, time series analysis. Experienced with neural networks architectures.

Other libraries: pandas, numPy, sklearn, sciPy, seaborn, matplotlib, statsmodels, etc.
Looking for ML engineer/Data Scientist job opportunities, either research or industrial projects. Better if the position is concentrated on one particular field, i.e. Computer Vision engineer, or NLP engineer.