I'm a beginning data scientist working in game industry and living in Stockholm, Sweden.
I love digging in huge piles of data to find interesting dependencies and unexpected conclusions. I'm very interested in human behavior analysis and I love to find patterns of human behavior which affect certain metrics. The favorite part of my job is that I can do research while having close understanding of players and impact on the games. Check out my projects to see what I'm doing apart from work.
MSc in Computer Science from the University of Nice Sophia Antipolis.
MSc in Cognitive Business Intelligence from Russian Plekhanov University of Economics.
As a final internship project of my Master's I analyze the personalization issues in Online Social Networks based on the different features of users. As an example we explore the social bookmarking service - Pinterest.
I am a part of team that studies Twitter social Graph and the posting behavior of users to identify opinion manipulation and spamming activities on the one hand, and characterize those users who can be trusted on the other.
As a University project we builded a distributed client-server system, with multithreaded dynamically allocated clients, in order to handle the ant-based clustering approach with the k-means algorithm.