// Hello, world! I'm
A Psyduck from UC Berkeley 🐥 — waddling through data, building ML models, and occasionally suffering from a statistical headache. Passionate about turning messy numbers into beautiful insights.
I'm a first-year M.A. Statistics student at UC Berkeley, with a deep interest in the intersection of statistical modeling, machine learning, and quantitative finance. My academic journey began at Zhejiang University where I graduated with honors in Economics (Advanced Class).
During internships at leading Chinese financial institutions, I applied gradient-boosting models and network analysis to build alpha-generating strategies and equity research pipelines. I thrive at turning raw, messy data into rigorous, interpretable models.
Outside of research, I served as President of the League of Economics School at Zhejiang University, organizing academic events and fostering a community of 500+ students.
I'm actively looking for data science, machine learning, and quantitative research roles. Whether you have a full-time opportunity, an internship, or just want to chat about interesting problems — my inbox is always open.
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