Anastasia Kuznetsova

Aspiring Data Scientist

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.

Personalized SNs

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.


Ant Colony

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.


VM scheduler

As a University project we developed several scheduling algorithms to provide different efficience and complexity for a distributed system of Virtual Machines based on CloudSim.



October 2016 - now

  • A member of the team working on the legendary casual game franchise Candy Crush
  • Counting crashed candies to understand the players better and to make Candy Crush Saga and Candy Crush Soda Saga even more enjoyable and entertaining
  • A/B test analysis, ad hoc game metrics analysis, KPI reporting, proactive problem solving

Inria - French Institute for Research in Computer science

July 2015 - August 2015

April 2016 - September 2016

  • Gathering depersonalized information from Twitter API
  • Applying graph theory to understand the chracteristics of the tweet content, to identify attempts to influence regular users
  • Analysing graph metrics to automate the process of spam and opinion manpulation discovery

Navicon Group

Dec. 2013 - Sept. 2014

  • IT consulting and business reporting
  • Functional and technical design of budgeting models
  • Budgeting model development, infrastructure support for IBM Cognos TM1 and IBM Cognos BI

Professional skills

  • Data Mining
  • Networking
  • Distributed Systems
  • Statistics
  • Graph Theory
  • Algorithmics and Problem Solving
  • System Model Checking and Performance Evaluation
  • Internet Measurements

IT Skills

  • Python
  • SQL
  • R
  • C++
  • Java
  • LaTex
  • Bash
  • Git

If you want to know me better, you can:

© Anastasia Kuznetsova 2017