Thomas Krist

Thomas Krist

Business Analyst @ NEORIS

About Thomas Krist

Thomas Krist is a Business Analyst currently employed at NEORIS in Prague, Czech Republic. He has a background in Mathematical Engineering, holding both Bachelor's and Master's degrees from Brno University of Technology and has gained experience in various roles within the automotive and data analytics sectors.

Current Role at NEORIS

Thomas Krist has been working as a Business Analyst at NEORIS since 2021. His role involves analyzing business processes and providing insights to improve efficiency and effectiveness. He is based in Hlavní město Praha, Česko, and has been contributing to various projects within the organization for three years.

Previous Experience in Business Analysis

Prior to his current position, Thomas Krist worked at Teradata as a Graduate Consultant for three months in 2020 and as a Junior Associate Professional for five months in 2021. His experience at Teradata provided him with valuable insights into data analytics and business intelligence, enhancing his analytical skills.

Education and Expertise in Mathematical Engineering

Thomas Krist studied Mathematical Engineering at the Faculty of Mechanical Engineering at Brno University of Technology, where he earned both his Bachelor's and Master's degrees. His academic focus included applied mathematics and statistics, equipping him with a strong foundation for his analytical career.

Internship and Corporate Relations Experience

Thomas interned at Škoda Auto from 2019 to 2020 in the Department of Quality, where he gained practical experience in the automotive industry. Additionally, he worked at IAESTE České republiky as Corporate Relations from 2015 to 2018, where he developed skills in managing corporate partnerships and fostering relationships.

Skills Development in Data Science and Analytics

Thomas Krist is enhancing his skills in Data Science and Analytics through online courses. He is learning tools such as Pandas, NumPy, Matplotlib, and Scikit, which are essential for data wrangling and model development. His self-study efforts reflect his commitment to continuous learning in the field.

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