I'm a Junior Data Scientist with two years of practical experience.
I have successfully finished 3 Machine Learning projects at the junction of the oil industry and data science.
I'm most experienced with supervised learning tasks using Keras, PyTorch, scikit-learn and XGBoost models based.
I have experience with SQL and Docker and I used Git for version control.
My daily stack includes Librosa, Pandas and NumPy for data processing.
I'm interested in different directions of Data Science and want to create cool products and useful tools.
To get more experience in the industry I'm considering both internships and junior Data Science positions.
Thank you for your attention and for considering me as a potential candidate!
I'm interested in product-oriented tasks that have clear value for the company and users.
I would like to participate in all pipeline of ML-products creating from data collection to tests and model support.
Expected Base Salary
Total Professional Experience
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