• 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)