Kirill Puchkov

Kirill Puchkov has extensive work experience in the field of data analysis. Kirill currently holds the position of Senior Data Analyst at Semrush, starting in December 2021. Prior to that, they worked as an Analyst at Space307 from February 2017 onwards. Before that, they worked as an Analyst at Балтбет from February 2014 to January 2017. Kirill also gained experience as a Test Engineer in statistics and mathematics at Competentum Group from November 2013 to February 2014. Additionally, they interned at Балтинвестбанк, ОАО in 2013, where they authored industry reports and conducted calculations for various sectors, including oil and gas, chemical, transportation, telecommunications, finance, energy, and metallurgy. Kirill has a strong background in analyzing positions, calculating costs, and evaluating potential growth. Kirill is also skilled in using various methods such as the Delta-Gamma method with Cornish-Fisher expansion for option valuation and VAR calculations for options, stock portfolios, and currencies.

Kirill Puchkov's education history is as follows:

- From 2019 to 2020, Kirill attended the Academy of Big Data MADE (by Mail.ru Group) and pursued a degree in Machine Learning Engineering.

- From 2012 to 2014, Kirill studied at the Higher School of Economics and obtained a master's degree in Mathematical Methods in Economics.

- From 2009 to 2012, Kirill attended Volgograd State University, where they earned a bachelor's degree in Mathematics.

- From 2007 to 2009, Kirill studied at the Moscow Institute of Physics and Technology (MIPT) where they pursued a non-degree program.

- In addition to their formal education, Kirill has obtained several certifications, including "Machine Learning: Clustering & Retrieval," "Machine Learning: Classification," "Machine Learning: Regression," and others from Coursera Course Certificates. Kirill also holds an edX Verified Certificate for Introduction to Apache Spark. These certifications were obtained between 2015 and 2016.

It is important to note that no strong assumptions were made outside of the provided information.