Starting the casual inference blog
Working for about 6–7 years in both the public and private sector in the fields of macroeconomics, risk modelling and data science, I realized there are quite a few tricks I learnt from mentors, ex-colleagues or in the process of doing things. Since I read a lot of other peoples’ blogs and I turn to other sources of knowledge like stackoverflow when I am myself stuck on a task, I decided it is time for me to share some of my own tricks and ideas that I have not seen explained anywhere else. I will strive for most of my posts to be on the practical side of things, but I will inevitably touch upon numerous theoretical concepts. I can do my best to point to the best explanations of those in order to achieve maximum clarity. In my posts I will include practical implementations in R or Python, but bear in mind I am by no means a super expert in any of those. Therefore, as the title suggests this blog should mostly be a casual source of knowledge on practical issues.
I hope you, the visitor, will find my posts helpful and will be willing to start a discussion, offer feedback or give an advice for an improvement.
Last, but not least I would like to add a little bit about myself. I have graduated with a bachelor’s degree in Economics from Adelphi University, NY and with a Master’s degree in Applied Macroeconomics from Fordham University, NY. I have worked for the central bank in Bulgaria and for the Bulgarian subsidiary of the Belgian KBC group. I have worked on various projects including research papers for the central bank and the ECB, macroeconomic analysis and forecasting, Basel and IFRS 9 credit risk modelling and more.
You can find links to my publications on researchgate or on linkedin.
