Gladness is a bona fide Ph.D. candidate at Nelson Mandela African Institution of science and technology. Her main interest is in data Science, specifically machine learning. She has managed to develop machine learning models to predict farmers decisions regarding their farm inputs preferences and predicting productions versus input costs. The developed models can be used by farmers and other livestock stakeholders including policymakers to make informed decisions in Sub- Saharan Africa. Gladness also owns a mobile application which assists farmer to collect records from the farm, get online extension services, access to information including marketing and weather. Apart from being a student, Gladness also has four years' experience of working as a research assistant and a consultant in developing ICT based platforms, visualization tools and oversee all activities to ensure a successful data collection process.
Listed skills include System Analysis, Data Analysis, Research, Software Development, and 5 others.