OPTIMIZE
WORLD
through Data

OPTIMIZE the WORLD through Data

A little about me

I am a data scientist and a researcher. My passion is working with hidden pattern recognition, data mining and dataviz. My goal is to optimize world processes by using data.

I'm excited about new challenges as a data scientist or a data-driven business consultant.

Download my CV

Contact me

If you are interested in cooperation or would like to discuss anything, please contact me.

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Panacea - ambulance statistical, analytics and reporting system
Design data flow architecture
Data-processing dashboard
Software for optimization processes in the worldwide company
Customer behavior analytics

Some current publications

Data Engineering in Ad Tech enterprise

Data Engineering in Ad Tech enterprise

2017-2022
11 min read

I’ve been working for a big Ad Tech enterprise (manages ~$2B in media spend and deploys campaigns in 70 markets, clients portfolio including: Google, Viber, etc). The company had a huge amount of data, and faced challenges with its volumes.It was a long journey with a variety of solutions developed during it. I described some of the most memorable and interesting in the solutions section.

Computational Social Science course

Computational Social Science course

February 14, 2023
2 min read

I have taught Computational Social Science at the National University of Kyiv-Mohyla Academy (est. in 1615) since 2022. Course descriptionComputational social science refers to the academic sub-disciplines concerned with computational approaches to the social sciences. It investigates social and behavioural dynamics through social simulation, (social) network analysis, and social media analysis.

AI for hiring — recommendation system for recruiters

AI for hiring — recommendation system for recruiters

2017
5 min read

This is a recommendation system for recruiters that estimates how new candidates suit available vacancies. It was developed for a real IT company based on their data after consulting experts. The system explores the possibility for a candidate to be: hired, rejected by the company or a candidate’s refusal.