About Me
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I’m Jade Chen, a data analyst and economics researcher based in Arlington, VA. With a B.A. in Economics from UC Berkeley and additional training at the London School of Economics, I specialize in using data science techniques to uncover insights in public policy, urban development, and social impact. I’m especially experienced in Python, R, SQL, and libraries like scikit-learn and NLTK. I’ve led research on housing inequality, smart cities policy, and conflict dynamics, blending statistical modeling with policy relevance.
Projects
Subnational Conflict NLP Study
Used Python (NLTK) to classify 195k+ conflict records by sentiment and framing. Labeled data for supervised ML to study how political reservations affect conflict narratives in India.
Cook County Property Valuation
Built regression models using Python to predict property values and detect tax bias patterns. Identified consistent overestimation in low-value homes, highlighting regressive valuation trends. Tools: pandas, scikit-learn.
Smart Cities Policy Evaluation
Analyzed India's Smart Cities Mission using difference-in-difference methods to assess COVID-19 impacts across 200 cities. Combined statistical rigor with cost-benefit analysis and policy insights.
Skills
- Python ▓▓▓▓▓▓▓▓░░ 90%
- R ▓▓▓▓▓▓▓░░░ 80%
- SQL ▓▓▓▓▓▓░░░░ 70%
- Data Cleaning ▓▓▓▓▓▓▓▓▓░ 95%
- EDA ▓▓▓▓▓▓▓▓░░ 90%
- NLP ▓▓▓▓▓▓▓░░░ 80%