Data Analyst · Berlin, Germany
I'm a data analyst with a background in software development, which gives me a deeper understanding of how data is created, structured, and managed before it reaches analysis. I use that perspective to build reliable analyses, uncover actionable insights, and create data-driven solutions that help businesses make better decisions.
About me
I'm a data analyst who genuinely enjoys digging into messy datasets and figuring out what's actually going on. I work with SQL, Python, Excel, and Power BI - not because they're on a list, but because they help me build things that are useful: clean dashboards, automated reports, and analysis that people actually act on.
I care a lot about data quality. A wrong number in a report is worse than no number, and I've learned that the hard way across 4+ years working in enterprise systems at Capgemini, client projects in Dubai, and now an intensive analytics bootcamp in Berlin.
I work well with people across teams - whether that's translating a business question into a SQL query or walking a non-technical stakeholder through a Power BI dashboard. I'm based in Berlin, fluent in English, and conversational in German (B2).
Certifications
What I work with
Portfolio
End-to-end ML pipeline predicting employee stress levels from survey data. Achieved 80.95% accuracy with Random Forest. Deployed as a live Streamlit app for real-time support recommendations.
Analyzed 1.5M+ Medicare-certified hospital records to surface relationships between care quality, pricing, and reimbursement. Identified "Hidden Gem" hospitals: 5-star quality at below-average cost.
Explored EV market data to surface pricing trends, regional adoption patterns, and purchase drivers. Delivered interactive Power BI dashboards filterable by segment and geography.
Personalized book recommendation app using collaborative filtering and content-based ML techniques. Deployed via Streamlit for live user interaction and discovery.
Developed a Satellite Exploratory Data Analysis (EDA) project using Python, Pandas, and Power BI to analyze global satellite data from multiple sources. The project involved cleaning and merging datasets, exploring satellite launch trends, orbit distribution, countries, operators, and mission purposes, and creating an interactive dashboard to present key insights. The analysis highlighted the rapid growth of LEO satellites, the dominance of communication satellites, and the increasing challenge of space debris.
Built an end-to-end **Data Engineering** solution using **Microsoft Fabric** to automate the ingestion, transformation, and reporting of monthly sales data. The project implements a **Medallion Architecture (Bronze, Silver, Gold)** with PySpark, Delta Lake, and Fabric Pipelines for incremental data processing. The final Gold layer powers an interactive Power BI dashboard, delivering business insights through KPIs, sales analysis, and automated reporting.
More work
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Get in touch
Open to data analyst roles in Berlin and across the EU. Let's talk.