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Data Scientist at MaxPoster
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist. Skilled in Predictive Modeling and Data Analysis.
Peter the Great St.Petersburg Polytechnic University
Master's Degree, Solid-state microelectronics
January 1, 2000 – January 1, 2006
MaxPoster
Data Scientist
January 1, 2019 – Present
Saint-Petersburg
Kaggle
Competitions Expert
December 1, 2014 – January 1, 2019
Institute for Networking Technologies
Software QA Engineer
August 1, 2012 – May 1, 2018
Saint Petersburg, Russian Federation
Netrika
Software QA Engineer
October 1, 2011 – June 1, 2012
Saint Petersburg, Russian Federation
West-Ter SPb
Software Engineer, Researcher
August 1, 2006 – August 1, 2011
Saint Petersburg, Russian Federation
Solvo
Technical Support Engineer, Software QA Engineer
June 1, 2005 – April 1, 2006
Saint Petersburg, Russian Federation
SQL for Data Science
Coursera
June 24, 2026 – Present
Машинное обучение и анализ данных, a 6-course specialization by Moscow Institute of Physics and Technology & Yandex on Coursera. Specialization Certificate earned on June 27, 2018
Coursera
June 24, 2026 – Present
Анализ данных: финальный проект
Coursera
June 24, 2026 – Present
Прикладные задачи анализа данных by Moscow Institute of Physics and Technology & Yandex on Coursera. Certificate earned on Saturday, February 10, 2018 9:34 PM GMT
Coursera
June 24, 2026 – Present
Построение выводов по данным by Moscow Institute of Physics and Technology & Yandex on Coursera. Certificate earned on Sunday, February 25, 2018 9:03 AM GMT
Coursera
June 24, 2026 – Present
Поиск структуры в данных by Moscow Institute of Physics and Technology & Yandex on Coursera
Coursera
June 24, 2026 – Present
Обучение на размеченных данных by Moscow Institute of Physics and Technology & Yandex on Coursera. Certificate earned on October 29, 2017
Coursera
June 24, 2026 – Present
Математика и Python для анализа данных by Moscow Institute of Physics and Technology & Yandex on Coursera. Certificate earned on September 19, 2017
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards data analysis, machine learning, and problem-solving, which aligns well with a Data Analyst role. Their participation in numerous Kaggle competitions and continuous learning through Coursera specializations demonstrates a proactive and self-driven approach to skill development. The transition from QA and Software Engineering to Data Science indicates adaptability and a clear career focus. However, the project descriptions are primarily technical and lack details on cross-functional collaboration or impact beyond technical metrics, which could be a factor in assessing broader cultural fit.
Soft Skills & Operational Fit
The candidate's extensive experience in competitive environments (Kaggle) suggests strong problem-solving skills, resilience, and a drive for continuous improvement. Their work as a Software QA Engineer indicates attention to detail and a structured approach to problem-solving. The descriptions of their roles imply an ability to work independently on complex technical challenges. However, direct evidence of team collaboration, communication style, or leadership in a data analyst context is not explicitly detailed in the provided descriptions.