Yulia Ibragimova

Yulia Ibragimova has a diverse work experience that spans across multiple roles and companies. From 2018 to the present, they have been working at Semrush, initially as a Data Scientist and later transitioning to the role of PR Data Team Lead. In this position, they led a team of 3 data scientists and was responsible for managing various projects related to brand marketing, including conducting studies and creating assets for marketing campaigns. Prior to their time at Semrush, Yulia worked at the Higher School of Economics from 2015 to 2018. There, they served as a Research Assistant and later took on the role of Manager, where they oversaw various lab processes and organized international research events. Throughout their career, Yulia has demonstrated their ability to manage teams, conduct research, and contribute to marketing initiatives.

Yulia Ibragimova's education history begins in 2012 when they enrolled at the Higher School of Economics and pursued a Bachelor's degree in Economics. Yulia completed their undergraduate studies in 2016.

After completing their Bachelor's degree, Yulia furthered their education by pursuing a Master's degree in Big Data Analysis at the Higher School of Economics from 2016 to 2018. During the same period, they also attended the Università degli Studi di Torino, where they pursued a Master's degree in Stochastics and Data Science.

In addition to their formal education, Yulia Ibragimova has obtained several certifications to enhance their skills and knowledge. In November 2020, they obtained the certification in Data-driven product management by Go Practice! Simulator from GoPractice, Inc. In December 2017, they completed multiple courses on Coursera, including "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning." In May 2017, they also obtained a certification in Agile Software Development from ScrumTrek.

Based on the provided information, Yulia Ibragimova has demonstrated a strong academic background in economics, with a focus on data analysis and stochastics. Yulia has also taken additional steps to acquire certifications and expand their knowledge in the field of data science and software development.