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Machine Learning Engineering & Data science at Zeta Global
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning programmer, researched, and enthusiast.
Bauman Moscow State Technical University
2003, Informatics & Control Systems
January 1, 1997 – January 1, 2003
lacmus
Volunteer Researcher and Developer
January 1, 2020 – February 1, 2022
https://lacmus-foundation.github.io/
Zeta Global
Senior Data Scientist
December 1, 2019 – Present
Prague Metropolitan Area · Remote
Recombee
Machine Learning programmer
April 1, 2017 – December 1, 2019
Prague, Czechia
NVision Group
Solution Architect
June 1, 2013 – August 1, 2017
Prague, Czechia
Hewlett-Packard
Solution Architect (OSS/BSS)
April 1, 2012 – July 1, 2013
Moscow
Moscow City Telephone Network (MGTS)
Head of testing department
June 1, 2011 – April 1, 2012
Sitronics Telecom Solutions
Senior Consultant
November 1, 2006 – June 1, 2011
Amphora Group
Senior Quality Engenier
January 1, 2005 – January 1, 2006
Generative AI for Software Development Specialization
DeepLearning.AI
June 24, 2026 – Present
Eastern European Machine Learning Summer School (EEML2022)
Google DeepMind
June 24, 2026 – Present
Machine Learning Engineering for Production (MLOps) Specialization
Coursera
June 24, 2026 – Present
Deep Learning Engineer
Workera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
System thinkinging (Системное мышление)
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, transitioning from telecommunications OSS/BSS architecture to data science and machine learning. This adaptability and continuous learning, evidenced by numerous recent ML certifications, suggest a proactive and growth-oriented mindset. Their volunteer research work also indicates a commitment beyond direct employment. The breadth of experience across different companies and roles suggests an ability to integrate into various organizational cultures.
Soft Skills & Operational Fit
The candidate's experience in leading testing departments and managing business analysis suggests strong organizational, leadership, and problem-solving skills. Their work as a Solution Architect implies a capacity for strategic thinking and cross-functional collaboration. However, the provided data does not offer direct insights into stress handling or team collaboration from psychometric tests.