📍 Erlangen, Germany
🎓 MSc Data Science, Friedrich-Alexander-Universität Erlangen-Nürnberg
💼 1.5 years of professional banking experience
🎯 Seeking HiWi, Working Student, and Internship opportunities in Germany
I am an MSc Data Science candidate at FAU Erlangen-Nürnberg with a Computer Science background and 1.5 years of professional experience in the banking sector.
At IFIC Bank, I worked in Alternative Delivery Services, analyzing ATM profitability, POS terminal performance, and debit-card data using Excel and Python.
During my MSc, I have expanded my practical experience in data analytics, business intelligence, and data engineering through projects involving Python, SQL, Power BI, SQLite, APIs, ETL, and data visualization.
My goal is to apply data to real business problems and develop my career in Data Analytics, Business Intelligence, or Data Engineering in Germany.
Analytics & BI: Power BI • DAX • Power Query • Excel • Data Visualization
Programming & Data: Python • Pandas • NumPy • SQL • SQLite
Data Engineering: ETL • Data Cleaning • Data Modeling • API Data Acquisition
Tools: Git • GitHub • Jupyter Notebook
End-to-end Python and SQLite pipeline for acquiring, organizing, classifying, validating, and reporting qualitative research datasets.
- Automated data acquisition using APIs and OAI-PMH
- Processed 62 research projects
- Recorded metadata for 4,087 files
- Implemented SQLite data storage, validation, and classification workflows
Interactive Power BI dashboard for exploring road-accident and casualty patterns in Bavaria.
- Data cleaning and transformation with Power Query
- Analytical measures using DAX
- Analysis by vehicle type, road type, lighting conditions, and location
🏦 Building a Banking Digital Channels Analytics portfolio project focused on ATM, POS, and debit-card performance using SQL, Python, and Power BI.
🇩🇪 Improving my German from A2 toward B1.