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Assistant Professor at Budapest University of Technology and Economics
AI is analyzing your overall score…
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.