Immunization Compliance and Predictive Analytics
for HEDIS Measures

This project investigates immunization disparities and predictive strategies to improve adolescent vaccine compliance across Oregon. Using publicly available data from the Oregon Immunization Program’s Tableau dashboard, the study evaluates adherence to two critical HEDIS measures, Childhood Immunization Status (CIS), and Immunizations for Adolescents (IMA).

By applying statistical and machine learning techniques, the project identifies geographic and demographic disparities, builds predictive models, and offers actionable insights to support targeted outreach and improve public health outcomes.

Examining the Impact of Tariff Policy
on Goldman Sachs' Stock Performance and Volatility

This project analyzes how tariff policies influence the stock performance and volatility of Goldman Sachs. By examining historical stock data and tariff information, the goal is to identify correlations and potential market trends.

Analyzing a Clothing Retail and Distribution Company

This project focuses on helping a retail organization increase sales and maximize profits through more effective direct marketing promotions. The organization's strategic goals include identifying customers who respond positively to marketing promotions, increasing the quantity and profitability of orders, and predicting future business growth.