Dmitriy Selivanov

Moscow, Russian Federation Russian Federation

Data Scientist

Technology / Software / Internet

Key skill and competencies: • Solid background in math and statistics. • Strong computer science fundamentals - algorithms and data structures. • Good problem solving and 'hacker' skills - successful performed in Kaggle competitions and data analysis hackathons. • Strong knowledge of modern machine learning techniques – regression, tree ensembles(boosting, bagging), svm, etc. Technology and frameworks: • Cluster computing - Apache Spark. • Extensive experience with R (C/C++ code for resolving bottlenecks + parallel computing) for data exploration, machine learning, visualization. • SQL (PostrgresSQL, MSSQL). • NoSQL (MongoDB, TokuMX). Contributing to development of R drive