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Department of Data Analysis and Machine Learning

About the department

The mission of the Department of Data Analysis and Machine Learning of the Financial University is to be an advanced competence center in data analysis, decision-making and financial services based on information processing.

Today, these technologies are changing all areas of human activity, creating new markets and changing the already existing ones.

The main task of the Department is to provide students of Financial University with not only practical skills in using data analysis and machine learning technologies, but also to enable students of the Faculty of Information Technology and Big Data Analysis to actively participate in real technological projects that change the world for the better.

This task cannot be solved if you simply teach by the textbooks – both technologies and business models in finance are developing much faster now than books are being published. To stay in demand, teachers cannot but conduct advanced scientific research. Such studies are actively conducted at the Department of Data Analysis and Machine Learning, and their results form the basis of solutions demanded by the market. You can read more about this in the section “Projects of the Department”.

In total, the Department employs about 90 professors and 10 staff members who implement several of their own undergraduate, graduate and postgraduate educational programs, as well as teach classes in Machine Learning, Data Processing and FinTech at other Faculties of the Financial University.

The main partners of the Department are both foreign and Russian manufacturers of IT solutions, banks, and insurance companies, who help to implement the practical component of the educational process.

Reacting proactively to the development of the digital economy and digitalization of the financial industry, we are constantly updating our educational programs and launching new ones.

Administration

Vladimir Igorevich Soloviev

Dean of the Faculty of Information Technology and Big Data Analytics

Head of the Department of Data Analysis and Machine Learning

  • Head of the Department of Data Analysis and Machine Learning
  • Doctor of Economics
  • Federal Expert in Science and Technology
  • two times Laureate of the FinU Rector’s Award
  • Laureate of Prof. Ovsiyevich Prize
  • Winner of the CEEMAN Champion Award of the CEEMAN Development Association
  • four times Laureate of the Award “Project of the Year” of the Global CIO professional community of IT Directors
  • Chairman of the Dissertation Council of the Financial University, educational program “Mathematical and Instrumental Methods of Economics

Alena Dmitrievna Steshnikova

Assistant Dean

Vladislav Karlovich Kontorovich

Academic Supervisor of the Department of Data Analysis and Machine Learning

  • PhD in Economics

Elena Aleksandrovna Platonova

Specialist for Educational and Methodological Work

  • PhD in Philology

Vadim Gennadyevich Feklin

First Deputy Head of the Department of Data Analysis and Machine Learning

  • PhD in Physics and Mathematics
  • Associate Professor

Liliya Sergeevna Fedosova

Chief Specialist

Victoria Alekseevna Malekova

Deputy Head of the Head of the Department of Data Analysis and Machine Learning

Anna Sergeevna Grishanova

Chief Specialist

Ekaterina Vladimirovna Romanova

Deputy Head of Head of the Department of Data Analysis and Machine Learning for Research

  • PhD in Physics and Mathematics
  • Associate Professor

Andrey Vladimirovich Kashin

Chief Specialist

  • PhD in Chemistry
  • Senior Researcher

Ilshat Yadykarovich Khasanshin

Chief Specialist

  • PhD in Technical Sciences
  • Associate Professor

Sergey Vyacheslavovich Makrushin

Head of the Laboratory of Semantics, Networks, Dialogue and Languages

  • PhD in Economics
  • Associate Professor

Dmitry Igorevich Korovin

Head of the Research Seminar of the Department of Data Analysis and Machine Learning

  • PhD in Economics
  • PhD in Physics and Mathematics
  • Professor

Olesya Aleksandrovna Strizhenok

Manager of the Department of Data Analysis and Machine Learning

Maria Alexandrovna Azarova