Predicting Well Groundwater Quality Using Cloud-Based Machine Learning: DataKind San Francisco Partners with Aquaya and DataKind

DataKind San Francisco (DKSF) was privileged to work with Aquaya throughout 2022, initially on a DataCorps® project analyzing satellite imagery, and more recently on a Data Advisory project described below to incorporate cloud-based storage and machine learning models to predict water well quality in remote regions of Uganda. Through these collaborations, DKSF was able to partner with Aquaya to centralize data and deploy scalable models in a seamless and cost-effective manner.