- Python
- Machine Learning
- Deep Learning (PyTorch, TensorFlow)
- Computer Vision (Super Resolution, GANs, Image Processing)
- Federated Learning
- Statistics
- Web Scraping (BeautifulSoup, Requests)
- Backend development: FastAPI
- SQL
- Tableau, Excel, LaTeX
🌿 BSc (Applied Mathematics, 2016) - Moscow Institute of Physics and Technology (MIPT), Russia
🌳 MSc (Data Science, 2021) - National School of Computer Science and Applied Mathematics of Grenoble (ENSIMAG/UGA), France
🌖 Data Science Researcher (Feb 2021 - Aug 2021), France
Where: LIG - Grenoble Informatics Laboratory
- Designed a framework to train ML models across multiple devices where data is continuously updated (Federated Learning, Continual Learning)
- Developed a distillation-based algorithm for Human Activity Recognition classification task in Federated Learning scenario (Server acc.: 71% → 80%, forgetting: 1.0 → 0.2)
🌗 Data Science Researcher (Sep 2019 - Aug 2020), Russia
Where: Research Institute "AEROCOSMOS"
- Data collection, image processing, investigating Computer Vision techniques (Super Resolution)
- Designed a DL model to increase the resolution of satellite images with the use of Generative Adversarial Networks (PSNR: 25.09 → 26.84, SSIM: 0.74 → 0.81)