Portfolio overview

Data Analyst Python · SQL · Power BI · Automation · AI Integration

I’m a Data Analyst based in Halle, Germany, with experience at DB Schenker, FedEx and IAMO. I use SQL to analyse data, Python to automate repetitive work and Power BI to build reports. I also integrate AI models into data-processing workflows. I currently work part-time at Leibniz Institute of Agricultural Development in Transition Economies (IAMO), building Python tools that prepare data for economic research. I’m available for full-time Data Analyst and BI Analyst roles.

What you’ll find here

Experience: How I’ve helped teams improve reporting, reduce manual work and make better use of their data.
Recommendations: Feedback from people I’ve worked with, with the original recommendation letters available to read.
Research & training: Research I’ve contributed to and courses I’ve completed in Python, Excel and data analysis.
Independent project (in development): I’m building an application as a passion project, combining Python, SQL, dbt and cloud platforms with automation and AI integration. Once it’s ready, I’ll share the working application here, along with the results and how I built it.

At a glance

How I can contribute to the data team

I bring a practical, business-focused approach to data work: Python automation, Power BI reporting, data quality improvement and process understanding.

In practice, this means understanding how a process works, identifying where data quality or manual effort creates problems, and building a solution that is reliable, repeatable and easy for others to use. I focus not only on the technical implementation, but also on making sure the final workflow fits the needs of the people working with it.

Messy inputs Cleaning & validation Automated workflows Dashboards & tools Trusted outputs

Data analysis & reporting

I help teams understand performance, investigate business questions and identify areas for improvement. I use SQL and Power BI to turn data into analysis and reports people can use in their work.

Automation & internal tools

I look for ways to reduce repetitive work and make processes easier to manage. I build Python workflows and tools that save time, reduce manual steps and fit how the team works.

Practical AI integration

I help teams put AI to use in their existing tools and processes - to support analysis, work with information and automate tasks. I focus on where it adds value, with checks and human review.

Data quality & integration

I bring data from different sources together and address gaps, errors and inconsistencies. This gives teams more reliable information for reporting, planning and everyday work.