Igor Rukhovich
Data Scientist
Nizhniy Novgorod, Nizhniy Novgorod, Russia
Summary
🤩
Rockstar🎓
Top SchoolIgor Rukhovich is a data scientist with seven years of experience, currently applying ML and analytics expertise at Sberbank after an ML internship at Intel. He holds a bachelor's in Computer Software Engineering from UNN and is pursuing a master's in Computer Science at the Higher School of Economics, with additional training at Yandex School of Data Analysis. Igor combines industry-grade model development skills with practical deployment experience in a large financial institution, focusing on turning complex data into actionable business insights. His background spans research-oriented coursework and hands-on engineering, reflecting comfort with both prototyping and production pipelines. Based in Nizhniy Novgorod, he brings a regional perspective to large-scale Russian fintech challenges and a commitment to continuous learning.
7 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Higher School of EconomicsBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)Computer Science, Incomplete, Computer Science, Incomplete at Yandex School of Data Analysis
Github Skills (32)
portable10
gbm10
xgboost10
dataflow10
intel10
python10
machine-learning10
distributed-systems10
machine-learning-algorithms10
java10
gradient-boosting10
gradient10
boosting10
dask10
scalable10
Programming languages (5)
Github contributions (5)
RukhovichIV/xgboost
Nov 2020 - Aug 2021
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Contributions:7 PRs, 103 pushes, 13 branches in 9 months
pythonflinkfeature-storedataflowgbm
RukhovichIV/scikit-learn_bench
Sep 2020 - Aug 2021
Benchmark for optimizations to scikit-learn in the Intel Distribution for Python*
Contributions:80 pushes, 10 branches in 11 months
optimizationspythonintelmachine-learningbenchmark
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