Data Analyst
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Recent Master's student in Software Technology with a strong foundation in Computer Science and a keen interest in data analysis. Proficient in tools like Python, SQL, Excel, and Power BI. Experienced in working with datasets, visualizing trends, and delivering actionable insights. Passionate about solving real-world problems through data.
June 2024 – Present
Completed data cleaning and visualization tasks for small businesses using Excel and Google Sheets
Analyzed sales and inventory data for a retail client, resulting in a 15% cost reduction
Built a customer churn prediction model as a personal portfolio project using Python
Master of Science in Software Technology
Stuttgart University of Applied Sciences (HFT Stuttgart), Germany
Relevant Coursework: Data Analytics, Machine Learning, Databases, Business Intelligence, Statistics, Big Data Processing
Tools & Technologies: Python (Pandas, NumPy, Matplotlib, scikit-learn), SQL, Power BI, Excel, R
Thesis Topic: "Predictive Analytics for Customer Behavior Using Machine Learning" (planned or ongoing)
Developed several projects involving data analysis, visualization, and automation of data workflows