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My name is Meng Song. I am a Ph.D. student in Economics at the University of Connecticut. My primary research interests are applied microeconomics with a focus on labor economics, health economics, and the economics of education.

Alongside my doctoral studies, I am pursuing a Master’s degree in Data Science, where I am honing my skills in Natural Language Processing and empirical Machine Learning methods. I apply these tools to extract meaningful insights from various data sources, thereby improving the precision and impact of my research findings.

• Applied Microeconomics
• Labor Economics
• Health Economics
• Economics of Education
• NLP*Economics
• Machine Learning

• Ph.D. in Economics - University of Connecticut
• Master’s in Data Science - University of Connecticut
• M.A. in Economics - University of Southern California

• Programming Languages: Python, R
• Data Science: Natural Language Processing (NLP), Machine Learning, Data Analysis
• Tools: Jupyter, VS Code, Git, Docker

• Website: mengsong.net
• GitHub: github.com/mengsong-econ
• LinkedIn: linkedin.com/in/meng-song

Feel free to explore my repositories and projects. Contributions and collaborations are always welcome!