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Name: Anna Safronova
Type: User
Name: Anna Safronova
Type: User
Volatility analysis of the Russian companies' shares. Comparison of the impact of the 2014 and 2022 sanctions on them. GARCH-models construction. Interpretation of results. / Анализ волатильности акций компаний. Сравнение влияния на них санкций 2014 и 2022 годов. Построение GARCH-моделей. Интерпретация результатов.
Analysis of air traffic data. Proposing and testing three hypotheses about the causes of problems in the airlines. Evaluation of results and their visualization (using a dashboard). / Анализ данных об авиаперевозках. Выдвижение и проверка трех гипотез о причинах проблем в авиакомпании. Оценка результатов и их визуализация с помощью дэшборда.
Comparison of the predictive models: decision tree, random forest, logistic regression. Workplace changes simulation. Interpretation of the results and their visualization (dashboard). / Сравнение различных предсказательных моделей. Симуляция изменений условий рабочего места. Интерпретация и визуализация результатов (в виде дэшборда).
Analysis of the nodes of the comics network and links between them. Identification communities by various methods (edge betweenness, fastgreedy, multilevel, walktrap, infomap). Visualization and interpretation of results. / Анализ узлов сети комиксов и связей между ними. Выделение сообществ. Визуализация и интерпретация результатов.
The research investigates the dependence between consumption of alcohol and crime commitment in regions of Russia. Regression is used as the method of analysis. Dependent variable is the number of crimes. Regressor is beer consumption. 21 control variables. Model includes non-linear cross effects.
The research studies how women’s political emancipation affects economic growth by applying regression with an instrumental variable.
Analysis of women's wages - dependence from the number of children and level of education
The study examines how the perception of crime varies from region to region in the Russian Federation, and how it is related to the actual level of crime.
Building a decision tree. Determining the factors that have the biggest impact on the project's success on the platform. Results visualization (dashboard). / Построение дерева решений. Определение факторов, наибольшим образом влияющих на успех проекта на платформе. Визуализация результатов с помощью дэшборда.
Analysis of the company's partners, traffic, conversion. Prediction of the traffic using the ARIMA models
Data preprocessing for machine learning modelling. Quantile transformation for the outliers removal, replacing NULLs with medians, using target encoder and Z-score standardisation for the numeric variables.
Time series analysis of the APEC countries. Search for structural shifts in data. Checking for the ARCH effect. Building ARMA- and VAR-models. Forecasting GDP in several ways. / Анализ временных рядов стран АТЭС. Поиск структурных сдвигов в данных. Проверка наличия ARCH-эффекта. Построение ARMA- и VAR-моделей. Прогнозирование ВВП.
Marketing analysis of the Topface company data. Obtaining useful insights for the media buyers. Calculation and visualisation of the marketing indicators
Modelling data using the VaR
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