About Me

I am passionate about using data to better understand how economies, businesses, and societies work. With a background in economics and experience in finance, research, and analytics, I am currently pursuing an M.Sc. in Data Science & Economics at Martin Luther University Halle-Wittenberg. My goal is to bridge economic reasoning and data science to develop practical solutions for complex real-world challenges.

Throughout my career, I have worked in financial analysis, economic research, and business analytics across both corporate and academic environments. These experiences have allowed me to contribute to budgeting, financial planning, economic forecasting, investment evaluation, and feasibility studies. Working on diverse projects has strengthened my ability to transform data into actionable insights that support strategic decision-making.

Alongside my studies, I work as a Scientific Research Assistant at IAMO (Leibniz Institute of Agricultural Development in Transition Economies), where I support international research projects through data collection, data analysis, literature reviews, and scientific communication. This role enables me to apply analytical methods to real-world research questions while collaborating with experts from different disciplines and cultural backgrounds.

My technical expertise includes Python, SQL, R, MATLAB, Power BI, and a variety of statistical and econometric techniques. I enjoy combining programming, quantitative analysis, and data visualization to uncover patterns, communicate findings effectively, and help organizations make data-driven decisions.

I am particularly interested in Data Science, Economics, Machine Learning, Business Intelligence, Public Policy, and Strategic Planning. Whether working on research, analytics, or decision-support systems, I am driven by curiosity, continuous learning, and the belief that data can be a powerful tool for creating meaningful impact.