Thesis: "Assessment of credit organizations borrowers' default rate" (2019).
Links:
README about data here.
All the code with data analysis is stored in the folder "analysis" and consists of different jupyter notebooks.
Order of viewing jupyter notebooks:
- columns_description.ipynb
- group_features.ipynb
- binary_features.ipynb
- categorical_features.ipynb
- numerical_features.ipynb
- modeling.ipynb
This repository also contains all courseworks.
First year (2015-2016):
- "Processing of stock data in MS Excel and MS Access" (discipline: "Information technology in the economics")
Second year (2016-2017):
- "Economic and statistical analysis of the enterprise financial results main indicators" (discipline: "Economic statistics")
- "Functional programming in JavaScript" (discipline: "Programming languages and methods")
Third year (2017-2018):
- "Modeling and forecasting the stock price of 'The Coca-Cola Company' considering the risk of increased volatility" (discipline: "Econometrics")
- "Optimal stock portfolio construction" (discipline: "Risk theory")
- Practice "Obtaining professional skills and professional experience" (discipline: "Econometrics")
- Practice "Operations research applied problems" (discipline: "Operations research")