Klym Popov

Experienced in developing a wide range of machine learning models, including neural networks, regression models, ranking systems, and other advanced algorithms. Proficient in time series analysis, fraud detection, and building recommendation systems. Skilled in designing and implementing predictive algorithms tailored to complex problems. Strong expertise in backend development with Go and Python, ETL processes, and parallel computing. Adept at SQL query optimization and utilizing heuristic algorithms to enhance efficiency. Familiar with tools like Optuna for hyperparameter optimization and performing in-depth model analysis. Experienced in building BI systems to deliver actionable insights. Passionate about reinforcement learning and designing sophisticated neural network architectures for real-world applications :)