Position: Data Analyst, Data Scientist, ML/DL Engineer
Category: Data Science
English level: upper
Years of experience: 0


A first-year master's student at the KPI, specializing in "Applied Mathematics," also received a bachelor's degree here.

I have experience working with the Python programming language and implementing various tasks in Data Science/Machine Learning.

I have completed the Data Science Fundamentals course from DataRoot Labs, Applied Machine Learning on Coursera, and I am currently taking the Deep Learning with PyTorch course.

Throughout my life, I have worked on many different projects on Kaggle, at the university, and during courses. I have worked with various ML algorithms such as NBC, KNN, Regression, Classification, PCA, SVM, etc. Currently, as mentioned earlier, I am interested in Deep Learning (CNN, RNN).

I have a lot of theoretical experience and I am truly passionate about having a deep understanding of algorithms from a mathematical perspective.
Since the field of Data Science is relatively young, I would expect to receive some mentorship at the beginning of my career to understand what, where, why, and for what purpose I am doing things. While I have had some practical experience, each new task and project requires a unique approach.

I anticipate actively applying my mathematical and analytical skills because, as I mentioned before, I have a great passion for calculus, linear algebra, and statistics. Therefore, I would like to solve problems by implementing my knowledge in this field.