Gábor Takács

Gábor Takács has a diverse work experience spanning multiple industries and roles. Gábor began their career as a Software Developer at Revert in 2006 and worked there until 2007. Gábor then joined Cylex as a Software Developer, where they developed automated data mining tools and toolbars for Internet Explorer and Firefox. After that, they worked at Infomatix Ltd as a Software Developer, contributing to the development of an artificial intelligence framework and an Integrated Development Environment.

In 2009, Gábor joined Eötvös Loránd University as a Research Intern, where they contributed to the development of a Macro-processor and developed a profiler module. Gábor also conducted research and found solutions for algorithmic problems.

In 2011, they joined Vertis Environmental Finance as a Quantitative Developer, where they worked until 2016.

In 2017, Gábor joined Oracle as a Senior Data Scientist, and later became a Principal Data Scientist. Gábor worked there until 2022 when they joined boam as a Staff Machine Learning Engineer.

Overall, Gábor Takács has a strong background in software development, data science, and quantitative analysis.

Gábor Takács completed their Bachelor's degree in Computer Science at Eötvös Loránd University from 2006 to 2010. In addition to their formal education, they obtained several certifications in related fields. Gábor completed courses such as "Python and Machine-Learning for Asset Management with Alternative Data Sets" and "Statistics for Data Science with Python" through Coursera in 2022. Gábor also completed the "Advanced Portfolio Construction and Analysis with Python" course in 2022 and the "Mining Massive Datasets" course in 2014. Furthermore, they completed the "Machine Learning" course in 2013 and the "Python and Machine Learning for Asset Management" course, although the exact completion month and year for the latter course are not specified.