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Senior Applied Scientist at Amazon | kaggle competition master
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Udacity
Nanodegree, Self Driving Car Engineer
January 1, 2017 – January 1, 2018
National Aerospace University -'Kharkiv Aviation Institute'
Master of Science (M.Sc.), Aerospace, Aeronautical and Astronautical Engineering
January 1, 2009 – January 1, 2011
National Aerospace University -'Kharkiv Aviation Institute'
Bachelor of Science (B.Sc.), Aerospace, Aeronautical and Astronautical Engineering
January 1, 2005 – January 1, 2009
Amazon
Senior Applied Scientist
October 1, 2021 – Present
Amazon
Applied Scientist
February 1, 2020 – October 1, 2021
AUDI AG
Artificial Intelligence Engineer
November 1, 2016 – January 1, 2020
Ingolstadt
Groz-Beckert Group
Expert Modelling & Simulation
January 1, 2012 – October 1, 2016
Albstadt
National Aerospace University -'Kharkiv Aviation Institute'
Head of laboratory
February 1, 2011 – September 1, 2011
Kharkov
Technology and Transfer Center at National Aerospace University -'Kharkiv Aviation Institute'
Design Engineer
September 1, 2009 – September 1, 2011
Kharkov
Fraunhofer Institute for Factory Operation and Automation IFF
Creating of virtual photorealistic 3D models for architecture and urban planning (Internship)
August 1, 2008 – September 1, 2008
Magdeburg, Germany
Gorodok
Designer for 2D and 3D Graphics
September 1, 2007 – May 1, 2009
Kharkov
Algorithmic Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Assembling Genomes and Sequencing Antibiotics (Bioinformatics II)
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Finding Hidden Messages in DNA (Bioinformatics I)
Coursera Course Certificates
June 24, 2026 – Present
Computational Neuroscience
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning aerospace, automotive (AUDI AG), and e-commerce (Amazon) industries, indicating adaptability to different organizational cultures. The transition from engineering to AI/ML roles demonstrates a proactive approach to skill development. However, the target role is 'Data Analyst', which is a significant shift from 'Senior Applied Scientist'. While the analytical skills are transferable, the specific focus and day-to-day responsibilities of a Data Analyst might require a different cultural fit than an Applied Scientist. The lack of detailed project descriptions makes it hard to assess alignment with typical data analyst responsibilities like dashboarding, reporting, and stakeholder communication. The certifications in R Programming and Algorithmic Toolbox are relevant, but the overall experience leans heavily towards advanced AI/ML research and development rather than pure data analysis.
Soft Skills & Operational Fit
The candidate's career progression from Design Engineer to Senior Applied Scientist indicates strong drive and adaptability. Experience in leading a laboratory and developing frameworks suggests leadership potential and initiative. However, without specific project details or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, communication, and stress handling. The psychometric test score is 0, indicating no data for these aspects.