Vladimir Baryshev
Middle Data Scientist
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolVladimir Baryshev is a Middle Data Scientist with nine years of experience building ML-driven backend systems at Sberbank, where he developed POCs for time-series optimization, chatbots, and face-matching pipelines and implemented production plumbing with Flask, RabbitMQ and Celery. He combines hands-on model work (CatBoost, LSTM, FastText, CNN/ResNet) with practical engineering—building object serialization protocols, distributed task queues, and Hive/Impala queries for large-scale data access. An active Kaggle competitor and open-source practitioner, he publishes reproducible projects and load-testing examples while maintaining personal ML and data-processing repos that showcase end-to-end work in Redis and PostgreSQL. Comfortable managing cross-team technical delivery, he also runs a home GPU server (dual RTX 2080s) and prefers executable Python workflows over shell scripting, reflecting a pragmatic approach to production ML.
8 years of coding experience
Postgraduate Degree, IT, Postgraduate Degree, IT at Высшая Школа Экономики
Github Skills (6)
feature-selection3
fairness-ml2
data-science2
machine-learning2
python2
scikit-learn1
Programming languages (1)
Github contributions (5)
vbaryshev4/Data_Science
May 2018 - Mar 2020
Contributions:151 commits, 144 pushes, 1 branch in 1 year 10 months
vbaryshev4/faster_python
May 2018 - Mar 2019
Contributions:111 commits, 91 pushes, 1 branch in 10 months
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