I am currently doing an Umschulung in Data and Process Analytics and gaining practical experience through my Praktikum at NADOOIT.
My goal is to grow in the field of Data Analytics, Process Analytics, Machine Learning, and data-driven business improvement.
- MBA in Operations Management
- Six Sigma Green Belt
- Umschulung in Data and Process Analytics
With my background in operations and process improvement, I am especially interested in using data to understand business processes, improve efficiency, support better decisions, and solve real-world problems.
- Data Analytics
- Process Analytics
- Business Process Improvement
- Python for Data Analysis
- SQL and Databases
- MongoDB and NoSQL Databases
- Machine Learning
- Deep Learning
- Data Visualization
- IT Solutions
During my Umschulung, I have learned and practiced:
- Python
- Pandas, NumPy, Matplotlib, and Seaborn
- SQL
- MongoDB
- Data cleaning and data preparation
- Data visualization
- Machine learning algorithms
- Deep learning fundamentals
- Process analysis and optimization
- Git and GitHub
I want to continue gaining more practical experience and deeper knowledge in this environment.
I am currently doing my Praktikum at NADOOIT, where I am gaining hands-on experience in IT solutions, data-related tasks, and digital business processes.
- Contributed a documentation improvement to
skrub, a Python library for machine learning with dataframes.
I am interested in collaborating on:
- Data analytics projects
- Process analytics projects
- Machine learning projects
- Database projects
- IT solution projects
- Learning-by-doing projects
- Group projects and practical training
My goal is to find a role in Data and Process Analytics, where I can combine my background in Operations Management, Six Sigma, and technical data skills to support business improvement and data-driven decision-making.
You can contact me through GitHub.
I am open to learning opportunities, internships, project collaboration, and professional networking.
I enjoy dancing and Pilates, and I like learning through practical experience.