Position: Data Scientist/ML Engineer
Category: Data Science
English level: upper
Years of experience: 0.5

Solid understanding of machine learning/deep learning fundamentals
(pros & cons of different model types, validation, metrics, etc.);
• Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras,
NLTK;
• Familiar with: AWS (SageMaker), MLflow, C/C++, Java, Docker, Linux,
Git, MySQL, MongoDB;
• IDE: PyCharm, Jupyter Notebook, MS Visual Studio, Eclipse, Intellij Idea;
Work Experience:
• 2018 – 2019 - Experience in business correspondence with foreign
clients;
• 2020 – 2021 - ML/DL researcher at the Computer Engineering Faculty.
Projects:
• Malware detection and classification using LDA;
• ML research for the classification of cardiovascular diseases;
• Pneumonia X-Ray detection system;
• Food Vision app;
• Time series prediction of the stock market;
• SMS Spam detection.