Bachelor Germany
While studying at Universität Bielefeld in Germany, I was fortunate to have the opportunity to immerse myself in a comprehensive curriculum focused primarily on Data Science, where I gained a solid foundation in various analytical techniques and machine learning methods. Additionally, I also had the chance to delve into the field of Economy, specifically European and International Economy, which provided me with a broader perspective on the economic trends and policies shaping the global marketplace. Furthermore, I also had the chance to take some Business classes that were ahead of their time, providing me with the opportunity to learn cutting-edge concepts and strategies that are shaping the future of the industry.
Data Science
Multivariate methods
Statistics
Mathematics
Multiple Projects in Data Science
European Economy
International Economy
Business Economy
Industry Economy
Customer Management
Behavioral Economics
Marketing Decision
Logistic and Multinomial Regression
Classification with Bayes Rule and Naive Bayes
Linear Discriminant Analysis
Principal Component Analysis
Decision Theory
Customer Journey
Customer Experience
Mathematical model of decision
Multivariate data visualization
Linear regression models
Penalized regression
Naive Bayes classifier
Classification with Logistic regression
Suited classifier
Classification with linear discriminant analysis (LDA)