Data Science Projects

My data science projects apply machine learning algorithms, statistical models, and data visualizations to reveal underlying trends and provide insights across multiple domains of business, psychology, education, and arts. These projects demonstrate my growth as a Data Scientist and Analyst through college courses including Data Visualization, Intermediate Data Science, Statistical Machine Learning, and Statistical Modeling.

Causal Impact of Moral Agency on Recidivism in Juvenile Delinquency

Causal Inference

Moderation Analysis

Sensitivity Analysis

Causal Inference, Matching, Doubly Robust Estimation, AIPW, Moderation Analysis, Sensitivity Analysis

How Substance Abuse Treatment Impacts Quality of Life in Public-Funded Facilities

Machine Learning

Predictive Analytics

Distribution Analysis

Random Forest, Predictive Analytics, Distribution Analysis

Starbucks’ Tableau Dashboard

Advanced Tableau: parameter actions, set actions, dynamic filtering

Building Edtech for Mental Wellbeing

Descriptive Statistics

Distribution analysis, segment analysis, R functions

Predicting Song Popularity through Audio Features

Machine Learning

Predictive Analytics

Correlation Analysis

LASSO regression, Random Forest, GAM, K-Means, Cross-validation, Correlation Analysis

How Substance Use and Demographics Connect To Mental Health

Descriptive Statistics

Distribution analysis & correlation analysis

Regression Analysis of College Earnings and Expenses

Predictive Analytics

Regression Analysis

Statistical Modeling

Linear regression, logistic regression, residual analysis, hypothesis testing