I have physical background, mainly tied with time series and signal processing. For three years i've been studying data science from different angles: mathematics, business problems, data analysis, algorithms and so on.I have experience in building, setting training pipelines, tuning hyperparamters and deploying custom Machine Learning, Deep Learning solutions. Projects I have worked on include Image Classification, Segmentation, Detection, machine learning regression, classification, clusterization.From various courses, books, practice and Kaggle competitions i've learn a lot about advanced statistics, programming with Python, data retreival and processing with SQL as well as data visualization with Matplotlib, Seaborn, dashboards.