In June 2019, I was able to attend summer school and workshop which was organised by Data Science Africa with the aim of training participants on Machine Learning and Data Science methods and provide an avenue for researchers to present their work and demonstrate the application of these techniques in solving problems in the African context. The event was held at Addis Ababa University in Ethiopia.
In early 2017, I was privileged to work as a researcher in the Dropwall project (by Rose Funja) which was among the winning project of the Data for Local Impact Innovation Challenge (DLIIC). The main focus of the project was to develop a tool that will help fighting dropout among secondary school girls. The findings from this project show a high rate of dropout among secondary school students particularly girls, and coincide with reports from other studies which show that school dropout is a big challenge in developing countries. On addressing this problem, machine learning techniques has gained much attention in recent years. However, most of the work has been carried out in developed countries, there are only a handful of studies conducted in developing countries on school dropout using machine learning techniques with the consideration of local context and data imbalance problem. This motivated me to continue working (in my PhD) on school dropout using machine learning.
In March, 2019, participants of the Deep Learning Indaba 2018 workshop (held in Stellenbosch, South Africa) from the Nelson Mandela African institution of Science and Technology (NM-AIST) organized a mini IndabaX event with the focus of highlighting fundamentals of Machine learning and Deep Learning research, applications and various potentials. The event also aimed in raising awareness and inspiring more participants from Tanzania to apply for Deep learning Indaba 2019 summer school which will held in Kenyatta university, Nairobi Kenya.
In May, 2017 I attended an IST Africa conference which was conducted in Windhoek, Namibia. I had an opportunity to present my research paper with the title “Enhancing Management of Nutrition Information using Mobile Application: Prenatal and Postnatal requirements”.
In April 2016 during my Masters’ degree, my team represented the Nelson Mandela African Institution of Science and Technology (NM-AIST) in the 14th annual Business Plan competition in Washington State University, Pullman (USA). The competition attracted different teams with brilliant and innovative ideas from different universities in USA and our team from NM-AIST, Arusha, Tanzania.