Kaiwen Yang

Research

Questions worth asking. Methods that make the answers defensible.

R12025

Air Pollution Prediction from Acoustic Signals

Question
Can acoustic signals predict air-pollution levels?
My role
Integrated time-series datasets, engineered predictive features, and evaluated XGBoost models.
Methods
  • time-series
  • xgboost
  • feature-engineering
  • python
  • r
Outputs
  • Integrated 10GB+ of data from 30+ structured and semi-structured files in R.
  • Explored acoustic–pollution relationships using nine correlation heatmaps and engineered 27 features.
  • Achieved R² = 0.87 with XGBoost and k-fold cross-validation, outperforming Random Forest.
R22024-04 → 2024-08

Satellite Portfolio Strategies

Question
Which satellite portfolio strategies are high-value?
Department
Department of Economics, University of Toronto
My role
Data collection using scraping and APIs in R, schema design, and analysis.
Methods
  • regression
  • difference-in-differences
  • r
  • sql
  • web-scraping
Outputs
  • Consolidated a 7-table SQL schema into 5 tables.
  • Collected a dataset of 3,000+ rows.
  • Difference-in-differences analysis and visualizations of satellite portfolio strategies.

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