Vladimir Konov is an experienced software developer and data scientist with a strong background in machine learning, backend development, and data analytics. Currently serving as a Golang/Python Developer at Kuttle and a Machine Learning Engineer/MLOps at Sxope, Vladimir has previously held roles as Lead Data Scientist at АО "Программный Регион," where key accomplishments included developing a machine learning model for personalized advertising delivery and enhancing click forecasting quality with gradient boosting techniques. Additional experience encompasses leading data science initiatives at Landly.AI, adding data-driven capabilities at Prio-Vneshtorgbank, and expertise in data analysis and application development across multiple organizations since 2008. Academic credentials include a Master’s degree from Moscow State University of Civil Engineering and recent postgraduate education in Computer Science from Zero To Mastery Academy.
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