I possess Python programming skills, including object-oriented programming concepts and experience with libraries such as pandas, numpy, matplotlib, seaborn, scipy, and scikit-learn for data analysis and machine learning. Additionally, I am proficient in SQL syntax, data querying, and MySQL.I have a strong understanding of classical machine learning algorithms and can create models to solve regression, classification, and clustering problems. I also have experience working with advanced machine learning models such as CatBoost, LightGBM, and XGBoost. My understanding of probability theory and mathematical statistics enables me to apply basic statistical criteria and evaluate the performance of machine learning models. Additionally, I am capable of running A/B tests and determining sample size, effect size, and experiment duration.My skills also include basic backend development as well as experience using Git for version control and project management.Furthermore, I am familiar with neural networks and the Keras library, with the ability to work on classification, object detection, and face recognition tasks involving text and images.