Filipp Upravitelev
- Visiting Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Filipp Upravitelev has been at HSE University since 2025.
- Language Proficiency
- English
- Contacts
- Phone:
27334 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S812
- SPIN-RSCI: 2985-7462
- ORCID: 0000-0001-7747-9038
- ResearcherID: AAM-1107-2020
- Google Scholar
- Supervisor
- E. Sokolov
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Education
2008
DegreeTomsk State University
Awards and Accomplishments
Best Teacher — 2018–2024
Courses (2024/2025)
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1, 2 module)Rus
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Big Data Analysis in Customer Behavior Research (Mago-Lego; 1, 2 module)Rus
- Big Data Analysis in Customer Behavior Research (Mago-Lego; 3, 4 module)Rus
- Past Courses
Courses (2023/2024)
- Automated Big Data Collection in Economic Sociology Studies (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 1, 2 module)Rus
- Automated Big Data Collection in Economic Sociology Studies (Mago-Lego; 1, 2 module)Rus
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1, 2 module)Rus
- Big Data Analysis in Customer Behavior Research (Mago-Lego; 1, 2 module)Rus
Courses (2022/2023)
- Automated Big Data Collection in Economic Sociology Studies (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Automated Big Data Collection in Economic Sociology Studies (Mago-Lego; 3, 4 module)Rus
- Big Data Analysis in Customer Behavior Research (Mago-Lego; 1, 2 module)Rus
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1, 2 module)Rus
- Digital Product After Launch (Minor; Faculty of Computer Science; 3, 4 module)Rus
Courses (2021/2022)
- Automated Big Data Collection in Economic Sociology Studies (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1, 2 module)Rus
Courses (2020/2021)
- Automated Big Data Collection in Economic Sociology Studies (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Big Data Analysis in Customer Behavior Research (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1, 2 module)Rus
Employment history
Product analyst at Pixonic, since 2018
Product analyst at Game Insight, 2016 - 2018
Marketing analyst at Game Insight, 2015 - 2016
Research analyst at Consultant Plus, 2013-2015
Lecturer at Saint Petersburg State University, 2010-2012
Head of the Laboratory of Legal Informatics at Herzen State Pedagogical University of Russia, 2009-2013
Freelance analyst, 2005-2013