Evgeny Sokolov
Android Developer at Promsvyazbank
Moscow, Moscow, Russia
Summary
🤩
RockstarEvgeny Sokolov is an Android developer based in Moscow with 14 years of software experience, currently building mobile products at Promsvyazbank. He has led end-to-end Android projects, delivering real-time features, geolocation services and in-app purchases while collaborating closely with product, design and backend teams. Prior roles at e-legion and 65apps honed his expertise in Material Design, third-party integrations and production release processes. Evgeny pairs hands-on app engineering with mentorship and Agile practice, routinely improving performance through refactoring and code review. Beyond mobile, he contributes to educational machine learning repositories, authoring Jupyter notebooks and model experiments that reflect a strong analytic mindset not always expected from a specialist focused on Android. Practical, product-oriented and curious, he bridges user-facing polish with data-driven problem solving.
13 years of coding experience
3 years of employment as a software developer
Github Skills (7)
scikit10
data-analysis10
machine-learning10
python10
numpy10
scikit-learn10
jupyter-notebook9
Programming languages (1)
Github contributions (5)
esokolov/ml-course-msu
Sep 2015 - Apr 2017
Lecture notes and code for Machine Learning practical course on CMC MSU
Role in this project:
Data Scientist
Data ScientistContributions:122 commits, 118 pushes, 1 branch in 1 year 7 months
Contributions summary:Evgeny's commits primarily focused on implementing the materials for introductory machine learning and k-nearest neighbors (kNN) practical coursework, likely for students. The changes include the addition of an introductory Jupyter Notebook, which provides a basis for the ML course. Further contributions involved implementing the initial notebook for the k-NN practicals, suggesting an educational focus on machine learning.
msupractical-machine-learningnotespythondata-science
esokolov/ml-course-hse
Sep 2016 - Nov 2022
Машинное обучение на ФКН ВШЭ
Role in this project:Data Scientist
Data ScientistContributions:397 commits, 33 PRs, 339 pushes in 6 years 3 months
Contributions summary:Evgeny's commits primarily focus on implementing machine learning models and analyzing results within a course on machine learning. They have contributed code for notebook setups, explored the use of machine learning models, including those from scikit-learn, and analyzed the performance of different model configurations. The commits suggest an active engagement with data analysis, model building, and the presentation of results.
python
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