About Me
Welcome to my webpage! Here's a glimpse into my career path - in my current role I've discovered a growing excitement for Data Engineering and Warehousing. This complements my academic background in Data Science, offering me a big picture of the field. Being active in both areas allows me to understand the interconnectedness and vital role they play in each others success. It's been an enlightening transition, where I've also mastered the Data Vault technique, earning my certification. This site displays my ongoing journey, a balance between the exciting field of Data Science and the crucial framework of Data Warehousing.
Core Skills
Data Engineering
Machine Learning
Cloud Computing
Agile Project Management
Professional Experience
Junior Data Specialist at GIZ in Bonn (2022-Present)
In my role as a Junior Data Specialist, I'm not only implementing and programming in Azure Synapse but also innovating with machine learning to improve data efficiency. In bringing together the worlds of Data Science and Data Engineering, my goal is to refine our approach to data, ensuring it’s not only managed but also intelligently transformed into valuable insights. By integrating machine learning with scalable Data Vault techniques, I contribute to advancing our systems towards smart automation and predictive capabilities. Thereby , I will attempt to make make our data strategies not only time-efficient but also future-ready.
Dual Student at GIZ in Bonn and Frankfurt am Main (2019-2022)
My dual studies at GIZ not only complemented my academic learning but also enriched it with substantial professional experience. Within this role, I bridged the gap between theory and practice, applying university-taught principles to substantial, real-world projects. My involvement in the workers' council and various departments underlined the value of diverse experiences. These three years shaped a comprehensive understanding of digital operations and international project management, laying a solid groundwork for a career enriched by both data and hands-on expertise.
Education
Master's Degree
University of Cologne - MSc. Business Analytics and Econometrics (Ongoing)
Key Modules: Machine Learning Capstone Project, Machine Learning and Artificial Intelligence
Bachelor's Degree
Trier University of Applied Sciences - BSc. Information Systems (2019-2022)
Key Modules: Machine Learning, Advanced Business Analytics, Data Mining
Exchange Semester
University of Worcester (England) - Exchange Program (2021-2022)
Resume
View My ResumeCertifications
Projects
This section is a work in progress, where I'll be showcasing projects I've tackled and new adventures I'm embarking on in the world of data and machine learning. Stay tuned for updates and insights into my hands-on experiences!
The Portfolio Website Challenge: A journey into web development
Curious about new technologies, I took on a two-day challenge to build this particular portfolio website. It was a practical jump into web development - a field new to me - with the aim of creating a space that represented my professional journey. I started with the basics of HTML, CSS and JavaScript. Then I moved on to deployment, where Render was suitable for a good and free deployment of my final repository. Now all I needed was a domain to make myself visible in Google searches. I found a cheap product from IONOS and configured my web domain for 2€. The result was a cheap and efficient product to bring this site to life. This project, built from scratch, demonstrates my adaptability and willingness to learn directly in the medium I am exploring.
Exploring Genre and Success Classification through Song Lyrics using DistilBERT: A Fun NLP Venture
The Song Analysis App was a key university project where we ventured into the fusion of artificial intelligence and music. Harnessing the power of Large Language Models (LLMs) such as BERT, our team developed a Streamlit-based dashboard capable of deciphering the complexities of song lyrics. In a University project with fellow data science students, we developed a solution that not only categorises song genres, but also predicts their release years and measures their popularity. More than an academic exercise, this project was an exploratory odyssey into the rhythmic heart of music, uncovering hidden patterns and trends with the precision of machine learning. For an in-depth look at our group's journey and the technical intricacies of our work, please read the detailed paper linked below.
Data Insights in IoT for Pets
In this capstone project, I delved deep into machine learning to analyze IoT data from dog trackers. Working with two other students over three months, we aimed to understand pet owner behaviors and enhance device functionality. Our close collaboration with the business taught us about managing requirements and the importance of continuous improvement. We tackled challenges in data processing and interpretation, applying complex ML algorithms for valuable insights.
