Position: Data Scientist, R developer, ML engineer, Applied Scientist, Researcher
Category: Data Science
English level: upper
Years of experience: 4

I have improved ML models using sparse matrices and more efficient approaches, which significantly increased the code performance (RAM usage and model runtime were reduced by 95% and 99%, respectively).

On another project I have found a way to significantly improve code performance by optimizing and rewriting on SQL (Exasol) most of scripts related to data preprocessing, which reduced the model runtime dozens of times.

Have scientific publications in refereed journals, as well as participation in more than 30 international conferences.

Active member of the International Astronomical Union Administration.
PhD in physical and mathematical sciences with six-year deep research experience (physics, astrophysics, space plasma physics). 
3,5 years of research and engineering experience in Data Science/Machine Learning (Work for American worldwide management consulting firm). 
>2 years of experience for the team/tech lead position of the data science/development team.


Projects domain:
• Marketing & Sales (Price and Promo optimization for Retail/CPG projects).
• Demand forecasting.
• Applied Science (physics, astrophysics, space technology).


Active technology stack:
• Commercial projects: R programming, SAS programming, Julia programming, Python (Pandas), Spark, SQL (MS SQL, Exasol, MySQL), AWS stack, GIT (git, GitLab, GitBook, GitLab CI/CD), Jira, Confluence, Tableau, draw.io, Excel (tabular data), PowerPoint; various Machine Learning models/algorithms.


• Science: MATLAB, C++/Qt, LaTeX (MiKTeX); IBM SPSS Statistics, Origin Pro, Statistica (StatSoft), Grapher; Global Survey Method (GSM) - methods for spherical data analysis; Data Analysis, Mathematics, Applied Statistics, Data Visualization, Mathematical Modelling, Probability theory, Math. Analysis, Linear Algebra and Analytic Geometry, Differential Equations, Vector and Tensor Analysis, Methods of Mathematical Physics, Theoretical Physics.