Nigeria and Tanzania
Energy poverty is particularly acute in sub-Saharan Africa, where roughly 600 million people lack electricity and 890 million cook with harmful fuels. To address this issue, Solar Sister recruits, trains, and supports local women entrepreneurs to deliver clean energy directly to homes in rural African communities.
To further support this network of women and expand their social enterprise, Solar Sister is launching Empowering Women Entrepreneurs with Data Science, a collaboration with Fraym. Through this partnership, Fraym will support Solar Sister with data science expertise – using predictive modeling, hyperlocal spatial layers, ensemble-based machine learning pipeline, and covariate matrix to train ML models – to provide insights on potential customers. Insights generated will help women entrepreneurs build tailored customer profiles for off-grid solar, better target their customers, and cater to their needs, growing and sustaining their renewable energy businesses. Leveraging data in this way will build healthy markets for renewable energy solutions by driving innovation and sales, in turn increasing community access to affordable and reliable modern energy, catalyzing socio-economic development, and improving community productivity and livelihood.