János Divényi

János Divényi has a diverse range of work experience in the fields of data science, teaching, and research. János began their career in 2010 as a Research Fellow at Századvég Gazdaságkutató Zrt., where they analyzed labor market data and contributed to policy-oriented research reports. In 2012, they worked as a Teaching Assistant at Eötvös Loránd University before transitioning to a role as a Data Analyst and Teaching Fellow at Central European University in 2013. During this time, they conducted interdisciplinary research on political corruption and taught programming tools and data analysis courses. In 2015, János joined Emarsys as a Data Scientist, where they utilized their skills in SQL, R, and Python to support product managers in data-driven decision making and build predictive models for marketing. János later took on leadership positions at Emarsys, serving as the Lead Data Scientist in both the Research and Analytics areas. In 2019, they also began working as a Teaching Fellow at Eötvös Loránd University and as a Visiting Professor at Central European University in 2021. Overall, János Divényi has demonstrated expertise in data science, research, and teaching throughout their career.

János Divényi completed their education as follows:

- From 2012 to 2020, they attended Central European University and obtained a Doctor of Philosophy (PhD) in Economics.

- From 2010 to 2012, they pursued a Master of Arts (MA) in Economics at Central European University.

- From 2006 to 2010, they studied Economics at Mathias Corvinus Collegium.

- From 2005 to 2010, they attended Budapest University of Technology and Economics, where they obtained a Master of Science (MSc) degree in Business Management and Economic Analysis.

In addition, János also obtained several certifications, including "Scalable Machine Learning" and "Introduction to Big Data with Apache Spark" from edX, "Data Manipulation in R with dplyr" from DataCamp, "Practical Machine Learning", "The Data Scientist's Toolbox", "Machine Learning", "Data Analysis", and "Computing for Data Analysis" from Coursera, as well as "Statistical Learning" from Stanford University. The exact months of obtaining these certifications are not provided.