Gytis Kulaitis
About Gytis Kulaitis
Gytis Kulaitis is a Data Scientist with a strong academic background in theoretical and mathematical physics, statistics, and mathematics. He has worked in various roles, including senior data scientist at Danske Bank and currently at Vinted, where he develops machine learning models for the payments sector.
Work at Vinted
Gytis Kulaitis currently holds the position of Data Scientist at Vinted, having joined the company in 2022. In this role, he focuses on developing machine learning models specifically for the payments sector. His work involves utilizing a diverse set of programming languages and tools, including Python, PySpark, Scala, SQL, GCP, and Looker, to enhance data-driven decision-making processes within the organization. His experience in the financial sector informs his contributions to Vinted's initiatives.
Education and Expertise
Gytis Kulaitis has a strong academic background in theoretical and mathematical physics, having earned a Master’s Degree from Ludwig-Maximilians-Universität München between 2013 and 2016. Prior to this, he obtained a Bachelor’s Degree in Mathematics and Physics from the University of St Andrews from 2010 to 2013. He further advanced his education by completing a Doctor of Philosophy (PhD) in Statistics at The University of Göttingen from 2016 to 2020. This educational foundation supports his expertise in data science and machine learning.
Background
Gytis Kulaitis has a diverse professional background that spans academia and industry. He began his career at the University of St Andrews, where he worked as a Developer of Quantum Mechanics Simulations for Undergraduate Teaching from 2012 to 2013. He later served as a Summer Research Intern at the same institution in 2012. Following this, he held various research positions, including a Postdoctoral Researcher at Georg-August-Universität Göttingen from 2020 to 2021 and a Researcher in Statistics at The University of Göttingen from 2016 to 2020.
Previous Work Experience
Before joining Vinted, Gytis Kulaitis worked as a Senior Data Scientist at Danske Bank from 2021 to 2022 in Vilnius, Lithuania. In this role, he gained valuable experience in creating and maintaining machine learning models tailored for financial transactions. His previous positions in academia, including his time at The University of Göttingen and the University of St Andrews, provided him with a solid foundation in research and data analysis, which he has applied in his subsequent roles.