Klara Kollar
About Klara Kollar
Klara Kollar is a Data Analyst with a background in finance and economics. She has worked at various organizations, including TakarékBank, GE Renewable Energy, and currently at Streetbees since 2021.
Current Role at Streetbees
Klara Kollar has been employed as a Data Analyst at Streetbees since 2021. In this role, she utilizes her analytical skills to interpret data and provide insights that drive business decisions. Streetbees focuses on gathering real-time consumer data, and Kollar's expertise contributes to the company's mission of understanding consumer behavior through data.
Previous Experience at TakarékBank
Before joining Streetbees, Klara Kollar worked at TakarékBank as a Credit Risk Analyst from 2016 to 2017. During her 11-month tenure in Budapest, Hungary, she was responsible for assessing credit risk and analyzing financial data to support lending decisions. This role provided her with foundational experience in the financial sector.
Experience at GE Renewable Energy
Klara Kollar served as a Junior Data Scientist at GE Renewable Energy from 2019 to 2021. Her two years in London involved applying data science techniques to support renewable energy projects. In this position, she worked on data analysis and modeling, contributing to the organization's efforts in sustainable energy solutions.
Educational Background in Data Science
Klara Kollar studied at General Assembly, where she completed a Data Science program from 2018 to 2019. This immersive course provided her with the skills necessary for data analysis, machine learning, and statistical modeling, enhancing her qualifications for her subsequent roles in data science.
Academic Qualifications in Economics and Finance
Klara Kollar holds a Bachelor's degree in Economics from Szent István Egyetem, which she completed from 2011 to 2014. Additionally, she earned a Master's Degree in Finance from Budapest University of Technology and Economics, studying from 2014 to 2018. These academic credentials laid the groundwork for her career in data analysis and finance.