Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 1

I completed several courses:
1. Coursera’s “Mathematics for Machine Learning: Linear Algebra” offered by Imperial College London.
2. Coursera’s “Machine Learning” offered by Stanford
University.
3. mlcourse.ai open Machine Learning course by Yury Kashnitsky.
4. Coursera's "Neural Networks and Deep Learning" offered by DeepLearning.AI.
5. Coursera's "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" offered by DeepLearning.AI.
6. Coursera's "Version Control with Git" offered by ATLASSIAN University.
OneReach.ai, Junior Solution Builder - 6 months
Our team was maintaining and developing the LiveAgent application for Call centers. We mainly dealt with the backend part but sometimes participated in front-end development. As part of a team, I was responsible for incorporating new features, manipulating the data, migrating the existing solutions to the latest versions of libraries, and developing/updating the visualization tools for plotting various statistics over time, for example, the agent call duration for the last day, week, month, etc.
Winstars Technology R&D, Data Science Intern - 3 months
I was working on an instance segmentation task on the PASTIS dataset. I have chosen the Mask R-CNN architecture as the starting point and faced several related issues. The main problem with Mask R-CNN is that it operates on independent images, whereas PASTIS consists of image time series. The architecture is composed of 2 parts: the backbone and heads. The former acts as a feature extractor, generating single or multiple feature maps. The latter performs classification, regression(bounding box prediction), and segmentation(binary masks for every instance). In order to overcome the issue with data, it was decided to change the backbone. I have experimented with different approaches, but the one which worked out for me was U-TAE.
I`m very enthusiastic person and I have a great passion concerning ML, so I`m looking for a position to work on a challenging tasks, so that I can gain a new knowledge as well as interesting experience and get acquainted with latest insights in this field.