Yevheniia Hrabovska

Yevheniia Hrabovska has work experience as a Growth Analyst at Twigeo starting from September 2022. Prior to this, they were a PHD Candidate at Stockholm School of Economics starting from September 2017, where they developed research questions, managed research projects, performed statistical data modeling, and conducted hypothesis testing and causal analysis in the field of household finance. Yevheniia also characterized Swedish administrative tax data and developed scripts in R, Python, and Stata for automated analysis. Yevheniia Hrabovska also worked as a Teaching Assistant from October 2018 to June 2021, leading seminars and preparing teaching materials for the Fixed Income & Derivatives Markets course. Additionally, they served as a Research Assistant from June 2018 to February 2019, where they performed data cleaning and implemented the random forest algorithm to classify individual loan data, as well as prepared literature reviews on challenges for replication in scientific research.

Yevheniia Hrabovska's education history is as follows:

Yevheniia obtained their Bachelor's degree in Finance, General from the National University of "Kyiv-Mohyla Academy" from 2011 to 2015.

From 2015 to 2016, they pursued a Master's degree in Econometrics and Quantitative Economics at the Universitat Autònoma de Barcelona.

In 2016 to 2017, they furthered their studies by completing a Master's degree in Econometrics and Quantitative Economics at Università Ca' Foscari Venezia.

Finally, from 2017 to 2022, they pursued their Doctor of Philosophy (PhD) degree in Finance, General at the Stockholm School of Economics.