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Marcell Granat
Currently working as a researcher and participating in PhD programme
Motivated and responsible Data Analyst with significant experience in increasing comprehension of reports, studies and presentations. Beside my studies at the University, I took part actively in research and teaching projects. Thanks to lecturing statistical courses for years, I am confident in wide variaty of any conventional or innovative Data Analysis project, like standard econometrics or natural language processing.
Professional Experience
Economist
Central Bank of Hungary MNB
Budapest
2024 May -
- Academic research on the field of economic history.
Research and Education Expert
Central Bank of Hungary MNB
Budapest
2022 February - 2024 May
- Academic research papers in financial econometrics.
Teaching Assistant (Current position)
John von Neumann University / Metropolitan University
Kecskemét/Budapest
2022 August -
(part-time)
- Academic research papers in econometrics and statistical modelling
- Subject manager of Big Data & Data Visualisation course
- Lecturer
- TDK (Student Scientific Conference) secretary
Professional Proofreader
Makronóm Institute
Budapest
2022 January - 2022 May
(part-time)
- Approval and improvement of professional data analysis about current economic topics (e.g. energy crisis, tourism).
Data Analyst
Makronóm Institute
Budapest
2021 May - 2022 January
- Instant data analysis for the Ministry of Innovation.
- Wrote Shiny (R) app demos.
- Converted statistical tutorials from STATA to R language.
My job included empirical analysis, managing balance sheet databases (CREFO, ORBIS), and developing related applications (Shiny). Two major projects took place with the contribution of my work: Sector 1000 (managing and analyzing interviews with company managers) and Inclusive Growth Index (Structural Equations Modelling and factor analyzing).
Publications
The Impact of AI on Hungary’s Labour Market: Evidence from Job Ads
Conference: Impact of Artificial Intelligence on the Macroeconomy and Monetary Policy
N/A
2024
Expect the unexpected: Did the equity markets anticipate the Russo-Ukrainian war?
N/A
2023
An Empirical Analysis of the Predictive Power of European Yield Curves
N/A
2023
Digitalisation and business performance - focusing on Hungarian manufacturing firms
N/A
2023
Empirical investigation of the recession forecasting ability of European yield curves
Best paper award at Corvinus Scientific Student Conference. Currently in press at Financial and Economic Review.
N/A
2021
Awards
Winners of the global data science competition organised by Whiteshield.
Our public GitHub repository is available.
Dubai
2023
2nd place at Quant Challenge organised by Morgan Stanley.
Essay, slide and codes are available.
N/A
2023
Winners of the data science competition organized by Hungarian Statistical Office.
TV interview available.
N/A
2022
5x Winner at Corvinus Scientific Student Conference.
Some of the winning papers (others are in publication process in academic journals, thus I did not make them public):
N/A
2018-2022
Special award at National Scientific Student Conference
The trend of fertility rates and the related soci-economic changes in Hungary
N/A
2021
Winner of the New Future scientific research competition (Demography section) organized by the National Bank of Hungary
The relationship between the fertility rate and gross output per capita and unemployment
N/A
2020
Teaching Experience
Big Data and Data Visualisation
Lecturing master students for R programming and statistics. Website is available.
John von Neumann University
2023
Data Analysis
Instructor of R, data visualization and statistics for foreign master students. Coursebook available.
Corvinus
2020-2022
Econometrics
Teaching cross-section econometrics and R basics for undergraduate students.
Corvinus
2019-2021
Statistics
Teaching descriptive statistics and inferential statistics for undergraduate students.
Corvinus
2019-2021
History and civics
Voluntery teaching high schools students through Studium Generale student organization.
Corvinus
2017-2022
Education
Eötvös Loránd University
PhD in Economics
Budapest
2022 -
Research field: Asset pricing and inflation forecast
Corvinus University of Budapest
MSc in Economic Analysis
Budapest
2022
Thesis: Empirical analysis of Hungarian Household Consumption: Application of Multivariate Adaptive Regression Splines
Thesis: Empirical analysis of Hungarian Household Consumption: Application of Multivariate Adaptive Regression Splines
Corvinus University of Budapest
BSc in Applied Economics
Budapest
2020
Thesis: The relationship among fertility rate, gross output per capita and unemployment (panel models, VAR models)
Erasmus University Rotterdam
Exchange program (3 months).
Rotterdam
2019
Fudan University
Summer school program with scholarship provided by the National Bank of Hungary.
Shanghai
2019
Last updated on 2025-01-13.