Selected Works

Research

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Cross-National Mental Health Predictive Modeling

August 2024 - Present

Conducting cross-national predictive modeling research to analyze the impact of living arrangements and sociodemographic factors on mental health among older adults. Identified a 1.44x increase in the odds of depression for individuals living alone in China based on gender and economic status.

Python
Machine Learning
Logistic Regression
SMOTE
Healthcare Analytics

Workshops

Archives

Data Science Workshops for Economics Students

The Scholarly Reading Circle For Economics

Organized and led data science workshops for 50+ economics students, featuring live demonstrations in Python and R on topics like data visualization, time series forecasting, regression, and data cleaning.

Projects

CrowdStrike Outage Case Study thumbnail
CrowdStrike Outage Case Study

Implemented causal inference techniques to assess the impact of a widely reported computer outage on CrowdStrike's stock price. Identified and validated a 10% return decrease as a direct result of the outage using a difference-in-difference model.

Python
Causal Inference
Time Series
Financial Analysis
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Customer Churn Analysis

We take a dive into the world of product analytics. We want to understand the relationship between observational data and customer retention for a product/service.

R
Classification
Product Analytics
Analysis of Student Activities on Class Performance thumbnail
Analysis of Student Activities on Class Performance

Utilized multiple regression analyses on over 2,000 individuals to assess the impact of study hours, absences, extracurricular participation, and employment on exam performance. Implemented data transformations and residual analysis to correct for non-linearity and heteroscedasticity.

R
Multiple Regression
Statistical Analysis
Education Research
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Housing Price Forecast

Analyzed Cross Sectional data to predict the price of a home. including data cleaning, exploratory analysis, feature engineering, and predictive modeling. Improved predictive accuracy by reducing RMSE scores by 16.7% through advanced data preprocessing.

Python
Predictive Modeling
Feature Engineering
Real Estate