Yulia Evchina
About Yulia Evchina
Yulia Evchina is a Senior Data Scientist at Hiab, where she has worked since 2021. She has a strong background in data science, programming, and research, with experience in predictive maintenance and machine signal data applications.
Work at Hiab
Yulia Evchina has been employed at Hiab as a Senior Data Scientist since 2021. In this role, she applies her expertise in data science to enhance operational efficiency and develop innovative solutions. Her responsibilities include analyzing complex datasets and implementing AI algorithms to support predictive maintenance initiatives.
Previous Experience at Sandvik
Before joining Hiab, Yulia worked as a Data Scientist at Sandvik from 2018 to 2021. During her tenure in the Tampere Area, Finland, she focused on leveraging data analysis to improve processes and outcomes within the organization. Her experience at Sandvik contributed to her strong foundation in data science applications.
Education and Expertise
Yulia Evchina earned her Doctor of Science (Technology) degree from Tampere University of Technology, where she studied ICT in Factory Automation systems from 2011 to 2018. She also holds a Master of Technique and Technology and a Bachelor of Technique and Technology in Automation and Control from South Ural State University, completed between 2003 and 2009. Her educational background supports her expertise in applying AI algorithms to various datasets.
Research Experience
Yulia has a background in research, having worked as a Researcher at Tampere University of Technology from 2011 to 2017. In this position, she focused on the intersection of theoretical knowledge and practical applications in data science, contributing to advancements in the field through her research efforts.
Technical Skills and Interests
Yulia possesses strong programming skills in Python, Java, Matlab, and C++. She has a keen interest in combining theoretical knowledge of data science with practical software design and development. Her experience includes working with machine signal data in the Mining Industry and control and monitoring systems in the Building Management domain.