Portfolio

Check out some examples of my work below

• Project 1: COVID-19 Data Analysis

  • Using COVID-19 data for data wrangling, exploration, and visualization

• Project 2: Machine Learning on Criminal Recidivism

  • Using Rossi et al. (1980) data on criminal recidivism for machine learning models including cluster analysis, dimensionality reduction (PCA), linear and non-parametric classifiers, and regression prediction

• Project 3: UT MLDS Data Hackathon

  • Analyzed Upworthy’s pledge on being clickbait-free and evaluated potential investment in company in Data Hackathon. Performed time series analysis, regression models, text mining, and NLP sentiment analysis to evaluate clickbait in headlines

• Project 4: E-commerce Predictive Modeling

  • Investigated the factors influencing whether a package arrives on time using machine learning algorithms such as cluster analysis, PCA, KNN, decision tree, and Adaptive Boosting