Vladyslav Shanin

Vladyslav Shanin has three years of professional experience in the field of data science. In 2017, they were a Research Assistant at Horizon 2020, AMMODIT, where they researched patterns of glycemia behavior for prediction of nocturnal hypoglycemia for diabetics using CGM (Continuous glucose monitor) sensor data source. In 2018, they joined DataRoot Labs as a Lead Machine Learning Engineer, Deep Learning Engineer, and Data Scientist. In this role, they developed a machine learning system for trading on cryptocurrency exchanges, implemented market data collecting systems from stock exchanges in real-time, and built ETL pipelines using APIs, MongoDB, and Apache Kafka. In 2019, they joined Databand.ai as a Data Scientist, where they researched methods of how to achieve better observability over spark or python data pipelines with statistical analysis of historical performance and data distributions. Vladyslav also contributed to the design of alerts system that allows users to monitor the running system and identify potentially dangerous anomalies in data or abnormal task performance that can affect business performance.

Vladyslav Shanin has a Master's degree in Data Science and Mathematical Modelling from the National Technical University of Ukraine 'Kyiv Polytechnic Institute'\u200b, which they obtained in 2021. Prior to that, they attended Mälardalen University in 2018, studying Computer Science. Vladyslav also holds a Bachelor's degree in Applied Mathematics from the National Technical University of Ukraine 'Kyiv Polytechnic Institute'\u200b, which they obtained in 2019.