2020 Hacklytics Project

Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.

We analyse population-adjusted confirmed case rates based on daily US county-level variations in COVID-19 confirmed case counts during the first several months of the pandemic to evaluate the spatial dependence between neighbouring counties and quantify the overall spatial effect of socio-economic demographic factors on the prevalence of COVID-19

Accompanying Github repository to the Ursatech Berkeley study "2020 Ursatech Study on Academic Performance as Impacted by the COVID-19 Pandemic Through the Perspective of Race, Income, Unemployment, and Poverty."

A data Scientist is researching census, crime, and school data for a given neighborhood or district to make predictions about educational outcomes

This is a reproducible Bayesian Network analysis for the modification effect of Socioeconomic status on the effect of smoking on asthma-related outcomes

This project highlights the critical relationship between substance use and mental health in the US using 2021 NSDUH data. Key findings show opioid use significantly impacts mental health, with the South and Midwest regions having the highest prevalence. Spatial analysis highlights clusters of misuse, offering insights to inform public health strat

This repository contains an EDA notebook analyzing regional and demographic factors contributing to educational disparities in the U.S., highlighting trends and key insights.