Assistant Professor at Budapest University of Technology and Economics
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Budapest University of Technology and Economics
Doctor of Philosophy (Ph.D.), Computer Science - Department of Automation and Applied Informatics
January 1, 2012 – January 1, 2015
EPFL
Computer Science
January 1, 2011 – January 1, 2012
Budapest University of Technology and Economics
Master's Degree, Electrical and Electronics Engineering
January 1, 2010 – January 1, 2012
Budapest University of Technology and Economics
Bachelor's Degree, Electrical and Electronics Engineering
January 1, 2006 – January 1, 2010
ADWEKO Group
Machine Learning Engineer
June 1, 2017 – June 1, 2018
Germany
Budapest University of Technology and Economics
Assistant Professor
January 1, 2017 – Present
Hungary
Prezi
Bridge Budapest Fellowship
October 1, 2013 – November 1, 2013
San Francisco
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Research Intern
August 1, 2011 – February 1, 2012
Laboratory of Computational Neuroscience, Lausanne, Switzerland
Budapest University of Technology and Economics
Teaching Assistant
February 1, 2011 – July 1, 2014
Budapest University of Technology and Economics
Research
September 1, 2010 – June 1, 2012
SAG Hungaria
Intern
June 1, 2009 – February 1, 2010
Budapest, Hungary
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with some industry experience in Machine Learning Engineering and a brief fellowship. While this demonstrates intellectual curiosity and a drive for deep technical understanding, the diversity of projects and direct alignment with typical corporate Data Analyst roles (e.g., business reporting, dashboarding, A/B testing, specific industry domain knowledge) is limited. The candidate's experience leans more towards scientific computing and algorithm development rather than direct business data analysis.
Soft Skills & Operational Fit
The candidate's academic and research background suggests strong analytical and problem-solving skills. Experience as a Teaching Assistant and Assistant Professor indicates communication and mentorship abilities. However, specific operational fit for a Data Analyst role, such as experience with business intelligence tools, data visualization, or stakeholder communication in a corporate setting, is not explicitly detailed.