Machine Learning scientist with 10+ years of industrial experience. I kindly ask you to read 'About' section before contacting me.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Right now I am only considering Machine Learning Scientist jobs in companies that try to make peoples' lives better. In particular, I would like to work on ML problems in clean energy, smart cities, transportation or healthcare. I have worked on ML/DS projects in advertising and recommender systems for about 10 years. Now I would like apply my skills to making this world a better place.
University of Eastern Piedmont
Master of Science (MSc), Machine Learning, Information Retrieval, Computer Vision
January 1, 2011 – January 1, 2012
Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy (Ph.D.), Applied Mathematics, Control Theory, Mechanics
January 1, 2010 – January 1, 2014
Université Lumière Lyon 2
Master of Science (MSc), Data Mining, Knowledge Representation
January 1, 2010 – January 1, 2011
Moscow Institute of Physics and Technology (State University) (MIPT)
Master, Applied Mathematics, Physics
January 1, 2004 – January 1, 2010
Odnoklassniki
Lead Machine Learning Specialist
November 1, 2018 – Present
Moscow, Russian Federation
Amazon
Machine Learning Scientist
September 1, 2016 – November 1, 2018
Mail.Ru Group
Lead Data Scientist
October 1, 2013 – September 1, 2016
Moscow, Russian Federation
AdMoment
Lead Data Scientist
September 1, 2012 – October 1, 2013
Moscow, Russian Federation
Technicolor
Intern R&D
March 1, 2012 – September 1, 2012
Rennes Area, France
Competentum Group
.NET Developer
March 1, 2008 – August 1, 2010
Microsoft Certified Technology Specialist: .NET Framework 3.5, ASP.NET Applications
Microsoft corp.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic background across multiple institutions and countries (Russia, France, Italy) suggests adaptability and a broad perspective. Their experience in various companies, from large tech giants to startups, indicates a willingness to work in different environments. The transition from .NET development to Machine Learning/Data Science roles demonstrates a capacity for continuous learning and skill evolution. The target role of 'Data Analyst' is a slight mismatch given the candidate's extensive experience as a Lead Machine Learning Specialist and Data Scientist, which typically involves more advanced modeling and system design than a pure analyst role. This could indicate a potential overqualification or a desire for a different type of challenge.
Soft Skills & Operational Fit
The candidate's resume indicates experience leading a team of four software developers and working with various stakeholders (clients, programmers, QA, technical writers), suggesting strong leadership and collaboration skills. The description of designing and productionizing systems for 40 million users implies a focus on impact and scalability. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.