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Project for the 2021/22 Advanced Econometrics class at the Faculty of Economic Sciences, University of Warsaw. In this project we build FE and RE panel data models to assess the relationship between firm performance and CEO gender.
Project for the 2022/23 Advanced Econometrics II class at Faculty of Economic Sciences, University of Warsaw. In this project we build quantile regression model to analyze variability in valuation of houses' characteristics.
Project for the Advanced time-series analysis 2022/23 class at Faculty of Economic Sciences, University of Warsaw. In this project we build several GARCH-class models and compare their performance in assessing risk of a cryptocurrency portfolio.
Project for the Dashboards and Power Excel tools 2021/22 class at the Faculty of Economic Sciences, University of Warsaw. In this project I created an Excel dashboard report of sales data.
Project for the Forecasting and Simulations 2021/22 class at the Faculty of Economic Sciences, University of Warsaw. In this project we compare different methods of forecasting monthly average exchange rates.
Project for the ING Lion's Den Competition. The goal of this project is to predict defaults of Big Lion Bank’s customers and I build logit, ridge, KNN and XGBoost models.
Project for the Machine Learning 2021/22 class at the Faculty of Economic Sciences, University of Warsaw. I was responsible for the drug abuse prediction task for which I build logit, probit, KNN and SVM classification models.
Project for the Machine Learning II 2022/23 class at the Faculty of Economic Sciences, University of Warsaw. I was responsible for the housing price prediction task for which I build OLS, random forests, XGBoost and neural networks regression models.
Projects for the Text Mining and Social Media Mining 2022/23 class at the Faculty of Economic Sciences, University of Warsaw. In these projects I predicted customer's sentiment based on Amazon customer reviews and analyzed national anthems in an attempt to clusterize them and explore topics appearing in them.
Projects for the Unsupervised Learning 2021/22 class at the Faculty of Economic Sciences, University of Warsaw. In these projects I explored adults' music preferences using association rules and analyzed the ‘Poland A and B’ division using clustering and dimension reduction methods.
Project for the Webscrapping and social media scrapping 2021/22 class at the Faculty of Economic Sciences, University of Warsaw. In this project we scrapped data on the most upvoted books on the goodreads.com website using Beautiful Soup, Scrapy and Selenium scrappers.
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