Founder of a Machine Learning education company and former Big Data VP at MTS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Moscow Institute of Physics and Technology
Data mining, Department of Innovations and High Technologies
January 1, 2008 – January 1, 2014
MLINSIDE
Founder
August 1, 2024 – Present
МТС
Big Data VP
December 1, 2020 – May 1, 2024
МТС
Chief Data Scientist
November 1, 2019 – March 1, 2021
Mail.ru Group
Big Data Academy Program Director
July 1, 2019 – December 1, 2019
Яндекс.Такси
Advisor
March 1, 2018 – June 1, 2019
Yandex
Chief Data Scientist at Yandex.Taxi
March 1, 2017 – February 1, 2018
Yandex Data Factory
Data Scientist, Head of User Behaviour Analysis group
December 1, 2015 – March 1, 2017
Yandex Data Factory
Data Scientist
April 1, 2015 – December 1, 2015
Sberbank-Technology
Machine learning and Python for Data Science lecturer
February 1, 2015 – December 1, 2020
Yandex
Text mining course lecturer
September 1, 2014 – December 1, 2016
ABBYY
Head of Learning Group
April 1, 2014 – April 1, 2015
ABBYY
Educational projects manager
January 1, 2014 – April 1, 2014
ABBYY
Software Developer (Recognition)
September 1, 2013 – January 1, 2014
2long2read
Founder
February 1, 2013 – May 1, 2014
Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Data science courses lecturer
February 1, 2011 – Present
DMIA
Founder
December 1, 2010 – January 1, 2020
Smart Tagger
Co-founder, Head of research team
February 1, 2010 – February 1, 2014
Machine learning and Data Science specialization on Coursera
January 1, 2016 – December 1, 2016
5 courses and final project on Coursera 30000 learners in 2016
Cultural Fit Analysis
The candidate's career trajectory is heavily focused on Data Science, Machine Learning, and Big Data leadership, education, and entrepreneurship. While these fields involve technical skills, the target role is 'Backend Engineer'. This represents a significant pivot. The project diversity is strong within the data domain, but there's limited explicit evidence of backend engineering specific projects or roles. The breadth of skills is primarily in data science, which may not align directly with typical backend engineering cultural expectations without further evidence.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership, program directorship, and lecturing suggests strong communication, mentorship, and strategic thinking skills. Their entrepreneurial background indicates initiative and problem-solving capabilities. However, the provided data does not offer direct insights into stress handling or team collaboration in a backend engineering context.