Scalarr
Yuliia Humirova has been working as a Data Analyst since 2019. Yuliia began their career at Scalarr, and in 2021 they moved to AI EdgeLabs in the same role.
Yuliia Humirova completed a Bachelor's degree in Applied Mathematics from V. N. Karazin Kharkiv National University between 2013 and 2017. Yuliia then went on to pursue two Master's degrees, one in Applied Economics and one in Applied Mathematics, also from V. N. Karazin Kharkiv National University, between 2017 and 2018.
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Scalarr
Scalarr is an innovative, Machine Learning based anti-fraud solution that detects the mobile app install fraud with dramatically improved accuracy. There are a lot of different types of app install ad fraud, although the traditional rules-based analysis used by existing solutions helps to detect only few of them. By applying to both unsupervised and semi-supervised machine learning algorithms, Scalarr solves the problem by analyzing deeply hundreds of features and variables, thus reducing efficiently the number of false positive and false-negative errors. With its unique self-learning engine it helps mobile advertisers to stay ahead of fraudsters without any need to update constantly the rules, as they modify their attack techniques.