Andrea Majekova
About Andrea Majekova
Andrea Majekova is a Data Analyst with extensive experience in econometric analysis and database management. She has worked for IPR CORPORATION LIMITED and currently holds a position at Thought Machine in London, United Kingdom.
Current Role at Thought Machine
Andrea Majekova has been employed as a Data Analyst at Thought Machine since 2019. In this role, she utilizes her analytical skills to interpret complex data sets and provide insights that support decision-making processes. Her position involves working with various data management tools and methodologies to enhance operational efficiency and contribute to the company's objectives.
Previous Experience at IPR Corporation Limited
Andrea Majekova worked at IPR Corporation Limited in London for a total of nine years. She began her tenure as a Consultant from 2010 to 2014, where she developed her skills in data analysis. She then advanced to the position of Senior Consultant from 2014 to 2019, further honing her expertise in the field. Her experience at IPR Corporation Limited provided her with a solid foundation in consulting and data-driven decision-making.
Education and Expertise in Applied Mathematics
Andrea Majekova earned her Mgr. degree in Applied Mathematics from Univerzita Komenského v Bratislave, where she studied from 2002 to 2007. She furthered her education at Charles University, obtaining an MA in Economics from 2008 to 2010. Her academic background equips her with strong analytical skills and a solid understanding of quantitative methods.
Technical Skills in Data Analysis
Andrea Majekova possesses expertise in various technical tools essential for data analysis. She is proficient in Eviews for econometric analysis and has strong skills in SQL for database management and querying. Additionally, she is skilled in using Matlab for data modeling and simulation, which enhances her ability to analyze and interpret data effectively.
Professional Skills and Interests
Andrea Majekova demonstrates strong time management skills, allowing her to work effectively under pressure and meet deadlines. She has a keen interest in continuously updating her market knowledge, which reflects her commitment to professional development and staying current in the field of data analysis.