Ranking third out of 1,500+ submissions in the How Much of the World Has Access to the Internet? competition, this report analyzes World Bank data from 1990 to 2019 to investigate global internet accessibility. It highlights countries and regions by usage rates and total users and reveals a strong positive correlation between usage and broadband subscriptions.
This project—which earned first place in a 24-hour DataCamp challenge—investigates how the Motor Performance Index (MPI), based on four essential motor skills (power, speed, flexibility, and coordination), relates to children’s attributes such as age, gender, weight, and height. Through multiple linear regression, it identifies the most significant predictors of motor performance, offering valuable insights for early sports talent identification.
This analysis of census data on more than 60,000 street trees across Manhattan won first place in Which Tree Species Should the City Plant? competition. It evaluates spatial distribution, biological characteristics, and biodiversity while ranking species by median trunk diameter and health index, presenting evidence-based recommendations for future tree planting.
This report analyzes ten years of hospital data (n ≈ 25,000) from 130 US hospitals to identify high-risk groups for readmission. Using multivariate logistic regression, it measures the effects of variables such as age, diabetes diagnosis or medication, and length of stay on patient readmission, supporting targeted follow-up care after discharge.
In this Crack the Code of Hair Loss first-place entry, survey responses from 999 patients were analyzed to identify factors contributing to hair loss. The report integrates association measures, machine learning models, and feature importance analysis to uncover links between baldness and age, medical history, stress, and lifestyle, offering actionable insights for health management and medical intervention.
This report analyzes the remote learning experiences of University of the Philippines students using survey-scale data collected more than a year after the onset of the COVID-19 pandemic. It examines respondent demographics, summarizes satisfaction and academic performance scale ratings, and explores the correlations among scale items. The findings highlight patterns that can inform strategies for enhancing online instruction.
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
This is a description of your tutorial, note the different field in type. This is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
This is a description of a teaching experience. You can use markdown like any other post.
This is a description of a teaching experience. You can use markdown like any other post.