Hello! My name is Mikhail, and I am an undergraduate student at the National Research University of Electronic Technology (MIET), studying Control and Automation Engineering.

My academic background combines programming, mathematics, statistics, data analysis, and engineering. I have experience working with Python, C/C++, SQL, MATLAB, and Simulink, as well as processing datasets, developing algorithms, and building mathematical models. Throughout my studies, I have worked on projects involving statistical analysis, sensor data processing, Kalman filtering, embedded systems, and decision-support systems. These projects have helped me develop analytical thinking, problem-solving skills, and a practical approach to working with data.

I am particularly interested in machine learning, predictive modeling, data visualization, and finding meaningful patterns in complex datasets. I enjoy challenging tasks that require both technical knowledge and creative thinking.

My main motivation for joining DSSG Solve is the opportunity to apply my skills to real-world problems that have a positive social impact. I believe that data science and technology should not only serve commercial purposes but also help communities, nonprofit organizations, and researchers make better decisions.

I would especially enjoy contributing to projects involving data analysis, machine learning, automation, or the development of data-driven solutions. However, I am open to exploring new fields and working on interdisciplinary projects. I am comfortable working independently and collaborating with international teams, exchanging ideas, and learning from people with different backgrounds.

Through volunteering, I hope to gain practical experience, improve my technical and communication skills, contribute to meaningful projects, and become part of an international community of people who share a passion for technology and social good.

I am motivated, curious, and always willing to learn some