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

BSc in Applied Mathematics with a major in complex and numerical analysis, financial engineering and international economics.

Data analysis using analytics services (Google Analytics) and BI tools, mastering Python and SQL and their libraries. Data analysis in Power BI (shaping and combining data, Star Schema), Statistics (correlation analysis, confidence intervals, anomaly detection), R Basics, Data Visualization (dplyr, ggplots), Probability (probabilities for discrete and continuous data, Monte Carlo simulations, random variables and sampling models, basics of Bayesian statistics and predictive modeling).
Python (NumPy, Pandas), SQL, Postgres, Rstudio (R Basics), MATLAB, C++, MS Excel, Power BI, Google Analytics. Fluent in English and Russian. Problem-solver, critical thinker, and responsible person.

I always loved mathematics and statistics. To expand my passion, I went on to study Actuarial Science and Applied Mathematics in one of the top English Universities in SA.

My current work experience includes working with data, analysis and forecasting but it’s not so challenging. I am now completing an advanced 6-months entry level course in Business Analytics and Data Science and exploring related job opportunities.
I am seeking an opportunity to apply my skills, knowledge and experience in new promising projects within a thriving industry.