Browse all projects on my GitHub profile.
Selected Projects
Discriminant Analysis vs. Random Forests
Type: B.Sc. Thesis | Language: R
Comparison of classification methods on economic datasets. Covers decision trees, random forests, cross-validation, and ROC/AUC evaluation.
View on GitHub →Gender Pay Gap Analysis
Type: Data Analysis | Language: R, Python
Empirical exploration of gender wage differentials using SOEP microdata and panel regression methods.
View on GitHub →Tech Stack
- Languages: R (tidyverse, caret, randomForest), Python (pandas)
- Methods: Classification, Cross-Validation, Hyperparameter Tuning, ROC/AUC
- Econometrics: Panel OLS, Fixed Effects, Instrumental Variables
- Tools: LaTeX, Git, Power BI, DATEV, MS Office