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


Experienced in university projects and courseworks.

1. Coursework on the subject "Additional sections of probability theory, probability processes and mathematical statistics" on the topic"Research of forecasting methods on the example of data on growth/decrease of nominal and real wages".
Algorithms and methods of data analysis used:
1) cluster analysis,
2) credit scoring as an approach to forecasting by Neural Networks,
3) creating an ARMA model for data forecasting.
Toolkit: STATISTICA software application, PYTHON programming language.

2. Coursework on the subject "Additional sections of the study of operations" on the topic "Discrete problem with quadratic objective function".
A mathematical model of the problem was created for further comparative analysis of the obtained results by different algorithms.
Algorithms and methods of data analysis used:
1) greedy algorithm,
2) bee algorithm,
3) genetic algorithm.
Toolkit: C # programming language.

3. Coursework on the subject "Modeling of processes and systems" on the topic"Modeling of the final stage of production of TVs".
Conceptual and formalized problem models were created for further analysis and evaluation of the obtained results with the help of regression analysis.
For the formalized model of the problem, the schemes of the queuing network and the Petri net were created.
Algorithms and methods of data analysis used:
1) regression analysis.
Toolkit: PYTHON programming language.