Methodological rigour
Data quality, modelling assumptions and uncertainty must be considered when interpreting findings.
About & professional background
Professional profile
I work at the intersection of data processing, information technology and economic analysis, combining institutional experience with quantitative research methods.
My professional approach
Throughout my career, data analysis, information systems and the study of economic processes have become increasingly complementary areas of work.
My experience in official statistics shaped an emphasis on data quality, comparability and methodological discipline. Roles in public finance and energy regulation subsequently added database development, business intelligence and statistical modelling to this foundation.
I draw on these perspectives in my research into territorial economic disparities, competitiveness and institutional-fiscal relationships.
Selected professional experience
2023–2026
Lead Data Engineer
Hungarian Energy and Public Utility Regulatory AuthoritySQL Server data processing, stored procedures, data quality, analytical datasets and BI reporting.
2021–2023
Economic Analyst
Hungarian Energy and Public Utility Regulatory AuthorityRegulatory and tariff analysis, data reporting processes and statistical modelling.
2019–2021
Analyst
Hungarian State TreasuryBI data analysis, report development, geospatial visualisation and statistical analysis using SAS.
2017–2019
Methodological Statistician
Hungarian Central Statistical OfficeStatistical processing of international trade data and quality reporting aligned with Eurostat guidance.
Earlier experience
Organisational Development & Leadership
Consulting and management rolesTraining development, institutional accreditation, team coordination and municipal organisational development.
Education and research background
My academic background combines economics, engineering, computing and data science. The dates indicate periods of study; they do not imply verification of a current degree or doctoral status.
2024–2026
Data science studies
University of Pannonia
2021–2022
Computer programming studies
John von Neumann University
2017–2019
MSc studies in Engineering Logistics
University of Pannonia
2013–2016
BSc studies in Technical Management
John von Neumann University
2009–2013
Doctoral programme
University of Pécs
Earlier studies
Human Resource Management and Labour Economics
University of Pécs · Szent István University
Professional principles
Reproducibility
Documenting data processing and research decisions is part of credible analytical work.
Practical relevance
Analysis is most useful when results are clearly communicated and address substantive questions.