Economics, Data scientist
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As an Economist and Data Scientist with a strong foundation in quantitative analysis and economic theory, I am passionate about leveraging data to drive decision-making and solve complex business problems. My expertise spans statistical modeling, machine learning, econometrics, and data visualization, allowing me to provide actionable insights and support data-driven strategies.
I am a PhD-trained economist with a strong focus on causal inference, econometrics, and empirical research. Throughout my academic and professional career, I have conducted extensive research using advanced econometric techniques to identify causal relationships in economic data. My experience includes working as a Research Assistant, where I supported data collection, model development, and the application of causal analysis methods to various economic questions.
Alongside my research, I have also gained valuable experience as a Teaching Assistant, where I supported undergraduate and graduate students in econometrics and microeconomics courses. I assisted with course material preparation, guided students through problem sets, and helped clarify complex economic concepts. This experience has further honed my communication skills and reinforced my ability to explain advanced topics in a clear and accessible manner.
I hold a PhD in Economics with a focus on Applied Microeconomics and econometrics and have hands-on experience with tools such as Python, R, SQL, and various data analytics platforms. My background includes analyzing large datasets, conducting economic forecasting, building predictive models, and performing in-depth econometric analyses to understand market trends, consumer behavior, and economic impacts.