Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

For my master's thesis, I developed a content-based music recommendation system. The objective of the system is to find the songs which the user will most probably enjoy and to weed out the songs that the user will not.
Education:
National Technical University “Kharkiv Polytechnic Institute” – Master’s Degree, specialization in Computer Engineering. 2014 – 2020.

Professional training:
Machine Learning by Andrew Ng at coursera.org: studied the theory of supervised, unsupervised machine learning algorithms and where, when and how to apply them.

Open machine learning course at mlcourse.ai: 
    •Learned how to perform exploratory data analysis using python, pandas and visualization tools such as matplotlib and seaborn;
    •Gained more knowledge of machine learning and applied it to solve different regression and classification tasks using sklearn and xgboost.

Fundamentals of CRM and client SQL-based analytics at PUMB academy:
    •Enhanced my knowledge of SQL on anonymized banking data;
    •Learned the fundamentals of:
        1.CRM (Customer relationship management);
        2.RFM analysis (Recency Frequency Monetary value);
        3.Cohort analysis;
        4.CRM campaign result evaluation (control groups, A/B testing);
    •Learned the basics of Power BI to make reports.