I have finished my PhD course majoring in mathematical and instrumental methods of economics. The topic of the PhD thesis is "Management of large-scale investment portfolios based on stochastic differential equations and time series analysis."I have been engaged in Data Science for more than 6 years. Main profile: time series analysis and their forecasting; factor econometric analysis; statistical analysis; natural language processing; data pipeline development; financial risk analysis; development of AI systems: python backend development; REST-API development and deployment; automation of business processes; deep learning systems development, etc.Due to my economic education, I easily understand the business problems that need to be tackled with the help of machine learning. This allows me to tackle business problems more efficiently and manage the development team. Now I am the Head of Data Science at the company Datalize. My main responsibilities include: managing a development team on various projects, training juniors developers, quality control of development; development of data science solutions for business, helping clients understand the capabilities of machine learning tools, etc.I am engaged as a lecturer in Econometrics and Mathematical Statistics at the Belarusian State University at the Department of Analytical Economics and Econometrics of the Faculty of Economics. Main publications: Econometric analysis of the precious metals market; Parametric risk assessment method Value-at-Risk using generalized Pareto distribution; Dynamic management of crypto portfolio with reserves; Loss distribution approach as an alternative method of assessing the market risks of financial instruments.Core competencies: Mathematical statistics, Machine learning, Data mining, Data analysis, Natural Language Processing (NLP), Risk management, Econometrics, Time series analysis, Financial Analysis, Data visualization, Web scraping, Dashboard development, Development of REST-API, Neural network design, Research activities.Technical skills: Python, SQL, Numpy, Scipy, Pandas, Sckit-Learn, Statsmodels, TensorFlow, Keras, PyTorch, transformers, surprise, NLTK, spaCy, arch, tsfresh, difflib, pyspark, CatBoost, SymPy, XGBoost, CatBoost, autograd, selenium, matplotlib, seaborn, EViews, Django, Flask, Django Rest framework, BeautifulSoup, Nginx, swagger, Bash, PostgreSQL, MySQL, SQLite, MongoDB, Docker, MS Excel, Latex, SageMaker, CRISP-DM, Agile Scrum, Basel II/III, AWS.