Olga Turchina

Responsible for analyzing tandem mass-spectrometry data using computational methods.

• Yandex.Fintech July 2023 - October 2023
Data-Analyst Intern
◦ Fraud-clustering task: Solving the problem of fraud-clustering by working with graph visualization and ml-algorithms
(clusterization and regression tasks) to improve the quality of markup and better prediction of default.
• Processing and support of big data by working with remote manipulator system and data warehouse of banking contour.
• Searching for signals and set up monitoring to catch fraudulent behavior by feature selection and feature-engineering.
• Huawei Research Institute September 2022 - May 2023
DL Juniour Researcher
◦ Super-resolution task: Solving the problem of super-resolution by working with deep neural networks ( GANs,
ImageNet, ResUNet) to integrate the developed neural network into the phone camera.
• Improved the quality of the base model by creating a synthetic dataset using GANs and degradation models.
• Included new pre-trained metrics in the model architecture for better perfomance comparison (more accurate quality
assessment).
• Huawei Research Institute 2022 - September 2022
DL Summer Intern
◦ Deep neural networks: Worked with deep neural networks to solve inverse computer vision problems.
• Improved base model performance by 3 percent by selecting model hyperparameters, working with augmentations, loss
functions and model architecture.
• Implemented new features into the model by reading relevant articles and working with the model architecture.