Projects
The Ethiopia Earthquake Tracker!
The Ethiopia Earthquake Tracker is a real-time web application I developed to monitor seismic activities across Ethiopia, built using R Shiny. With Ethiopia recently experiencing a series of earthquakes of varying magnitudes, this tool has become more essential than ever.
Key Features:
✨ Live tracking of earthquakes using USGS (United States Geological Survey) data
✨ Interactive map visualization
✨ Real-time statistics and updates
✨ Time-based filtering options
✨ Magnitude Range Selection
✨ Automatic 5-minute data refresh
The app serves as a valuable tool for monitoring seismic activity in Ethiopia, providing both researchers and the general public with easy access to earthquake data through an intuitive and user-friendly interface.
Childhood Micronutrient Deficiency Prediction (R Shiny App)
The Childhood Micronutrient Deficiency Prediction App is an interactive tool built with R Shiny that predicts childhood micronutrient deficiency. This application predicts childhood micronutrient deficiency using machine learning. It employs an XGBoost model trained on various demographic and health-related features. The model was developed using the tidymodels framework and demonstrates good predictive performance. Furthermore, the model has been deployed to ensure accessibility and ease of use for healthcare providers and researchers. Access the app here: Childhood Micronutrient Deficiency Prediction Tool
Customer Churn Prediction App (R Shiny App)
The Customer Churn Prediction App is an interactive tool built with R Shiny that predicts customer churn in the telecommunications sector. This application employs the XGBoost algorithm, integrated with the tidymodels framework, to analyze customer attributes and behaviors, providing insights into churn probability for subscribers of telecom services. Access the app here: Customer Churn Prediction Tool
Spatial distribution of childhood MN deficiency
The interactive spatial map showed that the spatial variation of childhood micronutrient (MN) deficiency in Ethiopia was most prevalent in the Somali, Afar, and Amhara regions, while the Gambela, Addis Ababa, and Southern Nations, Nationalities, and Peoples (SNNP) regions had the lowest prevalence of MN deficiency.Link
COVID-19 Dashboard: The case of Ethiopia
This dashboard provides an overview of the Coronavirus (COVID-19) epidemic for Ethiopia. It is built with R using Quarto framework. Check out the Covid-19 dashboard