I am a postgraduate professional marine geophysicist. I have been successfully applying my computer science skills in geophysical data analysis for several years. As a data scientist within geophysical applications I designed and implemented software for digital signal processing and data analysis, created features, trained predictive models for addressing issues of Vision Recognition and guided my teammates.I like travelling in different wild and spectacular places, and I never mind of taking a good hike.I like doing sports, but I like to go to cozy parties to play borad games. :)Skills: - Basic understanding of web security, main network protocols, cryptography and authentication/authorization mechanisms and etc. - Basic understanding and practical experience of AWS cloud services (Lambda, S3, IAM, API Gateway, ECR, ECS Fargate, VPC, ALB) - Python (PyTorch, Numpy, Matplotlib, Scipy, Django, e.g.), C++, Qt, MATLAB - Linux, Docker, Git, GitHub Actions, Terraform, Miro, OWASP ZAP - AI, Classic and Deep Machine Learning (KNN, K-Means, Fully Connected NN, CNN, RNN)Achievements:- Successfully finished a project for implementing seismic inversion algorithms. Led a team of 5 geophysicist-programmers. My main responsibilities included designing the application architecture, contributing code to the core components of the project, setting up the development process, distributing tasks within the team, and guiding my teammates.- Successfully finished a project for mapping of geophysical data. Led a team of 5 software engineers and geophysicists while working on a web service for mapping geophysical data. My key tasks were defining the application business logic and organising the development process. - Successfully finished a project for discontinuous faults detection. Led a team of 5 data scientists and geophysicists when we worked on a model for automatic detection of discontinuous faults on seismic images. I organised the work process, guided less experienced teammates in geophysics, defined the presentation of data (samples and labels), established the process of preparing data for machine learning, presented the results of the project at conferences.- Designed and implemented a software framework for collaborative development with junior geophysicist-programmers using Python.- Developed multiple modules for RadExPro Software for digital signal processing (spectral analysis and filtering, deconvolution, data converters, and etc.) using C++ and Qt.