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 data science techniques to uncover insights in public policy, urban development, and social impact. I’m experienced in Python, R, SQL, and libraries like scikit-learn and NLTK to blend statistical modeling with policy relevance. I’ve researched issues related to transportation, conflict dynamics, housing inequity, and pandemic response.
Projects
🚲 EDA & Visualization – Bikeshare Usage Analysis
Explored patterns in casual vs. registered riders in Washington D.C. using KDE, LOWESS, and regression visualizations. Found strong weekend-seasonal trends among casual users and workday commuting behavior in registered users.
🌏 NLP Classification – Political Reservations on Subnational Conflict
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.
🏘️ Predictive Modeling – Property Valuation & Bias Detection
Built regression models to predict property values and detect tax bias patterns in Cook County, Illinois. Identified consistent overestimation in low-value homes, highlighting regressive valuation trends.
🦠 Econometrics – Smart Cities Pandemic 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 ▓▓▓▓▓▓▓▓▓░ 95%
- NLP ▓▓▓▓▓▓▓░░░ 80%