Maria Kogut
About Maria Kogut
Maria Kogut is a Data Analyst at UBS in Cracow, Poland, where she has worked since 2020. She holds a Master's degree in Energy Engineering and has experience in data quality checks, data pipeline analysis, and international collaboration.
Work at UBS
Maria Kogut has been employed as a Data Analyst at UBS since 2020. In this role, she is responsible for designing and implementing data quality checks to ensure data integrity. Her work involves collaborating internationally with business analysts and engineers from various countries, including Poland, the USA, the UK, and India. Maria engages in ad-hoc data pipeline analysis and data mapping to address dynamic business needs. She also develops final data products tailored to client requirements and conducts technical training sessions for colleagues to enhance team skills.
Education and Expertise
Maria Kogut holds a Master's degree in Energy Engineering, specializing in E-mobility Systems for Energy Storage and Conversion, from AGH University of Science and Technology, which she completed in 2019. Prior to her master's, she earned a Bachelor of Engineering in Energy Engineering from the same institution, graduating in 2018. Her educational background equips her with a solid foundation in energy systems and data analysis, which she applies in her current role as a Data Analyst.
Background
Before joining UBS, Maria Kogut gained diverse experience through various internships and trainee positions. In 2018, she worked as a Trainee at Makroterm for one month and as an Intern at Aptiv for two months. Additionally, she served as a Power Supply Engineer at E-Moto AGH from 2018 to 2019. In 2019, she completed a two-month Summer Internship at Pasch y Cia. in Barcelona, Spain. These roles provided her with practical experience in data processes and engineering.
Achievements
In her current position at UBS, Maria Kogut is actively involved in modifying scripts and database views to optimize data processes. She participates in analyzing and discussing stakeholder requirements to ensure that data solutions align with business objectives. Her contributions to data quality and integrity are essential for the successful implementation of data-driven strategies within the organization.