Grintas Junevičius
About Grintas Junevičius
Grintas Junevičius is a Full Stack Data Scientist currently employed at Revel Systems in Vilnius, Lithuania. He has a strong academic background in mathematics, holding a Bachelor's degree, a Master's degree, and a PhD from Vilnius University, along with extensive experience in data science and technical support roles.
Current Role at Revel Systems
Grintas Junevičius currently holds the position of Full Stack Data Scientist at Revel Systems. He has been with the company since 2021, contributing his expertise in data science and programming. His role involves the integration of data analysis and software development, allowing him to leverage his skills in mathematics and data applications to support the company's objectives.
Previous Experience in Data Science
Before joining Revel Systems, Grintas Junevičius worked as a Data Scientist at CyberNews from 2020 to 2021. His responsibilities included analyzing data to derive insights and support decision-making processes. He also served as a Data Scientist and SAS Developer at Nielsen from 2018 to 2020, where he focused on data analysis and statistical modeling.
Technical Support Experience at Western Union
Grintas Junevičius worked at Western Union as a Senior Technical Support Specialist from 2016 to 2018. In this role, he provided technical assistance and support to clients, ensuring the smooth operation of services. His experience in technical support enhanced his problem-solving skills and understanding of customer needs.
Educational Background in Mathematics
Grintas Junevičius has a strong educational background in mathematics. He earned a Bachelor's degree in Mathematics and Applications of Mathematics, graduating Cum Laude from Vilnius University in 2017. He further pursued his studies at the same institution, obtaining a Master's degree in Mathematics in 2019 and a Doctor of Philosophy (PhD) in Mathematics in 2023.
Teaching Experience in Data Science
Grintas Junevičius served as a Lecturer at Vilnius CODING School from 2020 to 2022, where he taught Data Science with Python. This role involved educating students on data science methodologies and programming techniques, contributing to the development of future data professionals.