Position: Data Scientist, Data Analyst
Category: Data Science
English level: upper
Years of experience: 4

2023: DeepLearning.AI TensorFlow Developer, (Credential ID: 7BVPB567NNCS)

2023: Google Data Analytics Professional Certificate (Credential ID: 5PYV9F68S6N2)

Publications:
2010: "The problem of avoiding collisions with a group of managed objects”, 13th International Conference on behalf of Academician M. Kravchuk.

2010: “Two problems in the non-linear escaping theory with groups of participants”, “Cybernetics and Computing Hardware” (#160, 2010).
1. GlobalFreelance: 05/2010 – until now
Freelance Expert
Writing different learning activities for students worldwide in mathematics, statistics and probability, programming, data analysis, data science, econometrics, project management (via MS Project), quantitative methods, optimization problems, portfolio optimization, etc.
I've worked for more than 4 years mainly with R programming (I have basic knowledge of Python ML tools) tools as a data analyst/data scientist by completing different projects via hypothesis testing and machine learning (using such tools as Regression, Decision, Trees, SVM, SVR, K-NN, Naïve Bayes, etc.), data visualization and presentation of the results via RMarkdown, Tableau.

2. V. M. Glushkov Institute of Cybernetics of NAS of Ukraine:  11/2014 - 01/2020
Junior Researcher at Controlled processes optimization Department #165.
I was working on an escaping problem in n-dimensional space (differential games).