Denis Litvinov
Data AnalystSenior ML Engineer, ex-JetBrains
GigaCode
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior ML Engineer, ex-JetBrains
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Samara State Aerospace University
Master's degree, Computer Science
January 1, 2008 – January 1, 2013
GigaCode
Lead ML Engineer
November 1, 2025 – Present
Sabbatical
Sabbatical
August 1, 2024 – October 1, 2025
JetBrains
Researcher
July 1, 2022 – July 1, 2024
JetBrains
Technical Lead
May 1, 2019 – July 1, 2022
Sberbank
Data Scientist
October 1, 2018 – April 1, 2019
Moscow, Moscow City, Russia · On-site
Higher School of Economics
Visiting Lecturer
September 1, 2017 – April 1, 2022
Moscow, Russian Federation · Hybrid
Doctor Web, Ltd
Machine Learning Engineer
November 1, 2014 – October 1, 2018
Moscow, Moscow City, Russia · On-site
Samara-InformSputnik
Software Developer (С++, Python)
August 1, 2012 – September 1, 2014
Russia · On-site
Indigo Byte Systems, LLC
Software Developer (C++)
January 1, 2011 – March 1, 2012
Samara · On-site
UTQML101x: Quantum Machine Learning
edX
June 24, 2026 – Present
Advanced Machine Learning Specialization
Coursera
June 24, 2026 – Present
How to Win a Data Science Competition: Learn from Top Kagglers (with Honors)
Coursera
June 24, 2026 – Present
Addressing Large Hadron Collider Challenges by Machine Learning
Coursera
June 24, 2026 – Present
Deep Learning in Computer Vision
Coursera
June 24, 2026 – Present
Big Data Essentials: HDFS, MapReduce and Spark RDD (with Honors)
Coursera
June 24, 2026 – Present
Introduction to Deep Learning
Coursera
June 24, 2026 – Present
Practical Reinforcement Learning (with Honors)
Coursera
June 24, 2026 – Present
Natural Language Processing
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning
University of Toronto, Coursera
June 24, 2026 – Present
Certificate in Java EE Development
Netcracker Technology
June 24, 2026 – Present
Certificate in iOS Application Development
Mercury Development, LLC
June 24, 2026 – Present
Big Data Applications: Machine Learning at Scale
Coursera
June 24, 2026 – Present
Построение выводов по данным
Coursera
June 24, 2026 – Present
Bayesian Methods for Machine Learning (with Honors)
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans various industries (antivirus, banking, education, software development) and roles (developer, researcher, data scientist, lecturer, lead ML engineer), demonstrating adaptability and a broad interest in applying ML. The extensive list of certifications in diverse ML topics (Deep Learning, NLP, Reinforcement Learning, Big Data) further supports a continuous learning mindset. However, the target role is 'Data Analyst', which is a significant shift from their extensive ML/ML Engineering background. While data analysis is a component of ML, the primary focus of their career has been on model development, research, and engineering, not core data analysis. This misalignment suggests a potential cultural fit challenge for a pure Data Analyst role, as their expertise might be overqualified or misdirected for typical data analyst responsibilities.
Soft Skills & Operational Fit
The candidate's resume indicates leadership experience (Technical Lead, Lead ML Engineer) and teaching roles, suggesting strong communication and mentoring abilities. Experience in R&D and problem-solving for various applications (antivirus, bug tracker, satellite imagery) points to adaptability and analytical thinking. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.