Personal Information
Organization / Workplace
Moscow, Russian Federation Russian Federation
Occupation
Data Scientist
Industry
Technology / Software / Internet
About
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
Tags
alternating-least-squares
svd
recommender-system
big data
matrix-factorization
minhash
lsh
lshr
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