A triangulation study of neonatal deaths was carried out in Ethiopia, employing several data sources (such as CHAMPS, SIP, PMA, EmONC, and DHS). EPHI, NDMC, P2P, and 10-Academy are working together on this initiative. I'm currently working as a freelance data scientist.

We're working on developing data-driven CPs for low-resource environments, and we're currently testing them.

Based on the nature and qualities of data, our application (CPDataVIZ APP) provides automated preprocessing with minimal human participation. It also provides data-driven visualization that is interactive.

It's a piece of software that simulates patient flow for SPT (Shortest Path Processing)

The EDUBOT APP aims to provide tailored feedback to students depending on their activities and performances.

The ADDISHOME e-Finder APP is designed to look into evidence and perform automatic competitor analysis based on a variety of parameters. Price, location, facility, and quality criteria were used to create an automatic e-Finder.

We used machine learning approaches to find Anopheles Mosquito Genes that are critical for malaria transmission, and we got a good result.