While there was a global health crisis occasioned by the outbreak of Covid-19 in 2020, Lawrence Moruye, now an MMU alumni, was stamping his authority in the world of data science.
Moruye, who was a Mathematics and Computer Science Student, won a Datathon Competition held in Kenya and South Africa last year.
He secured first place in the October competition aimed at using machine learning to predict the estimated delivery time of online orders by Sendy – a company with an online logistics platform based in Kenya.
Speaking to MMU, Moruye attributes his success to his time at MMU, saying that the institution provided him with the sound background necessary to excel.
“I consider it a great honor to have been a student at Multimedia University of Kenya. The solid Mathematical and Computer Science background helped me to grasp the statistics and computing concepts necessary for data science and machine learning,” he says adding that the seminars and workshops organized by the university gave him a chance to explore, gain exposure and learn to identify opportunities.
The award confirmed Moruye’s growing esteem in the data science world since hestarted competing in 2017.
In 2020, he also took 2nd Place in an African, inter-university data science hackathon dubbed UmojaHack and 3rd Place after leading a team in the UNICEF 2030 Vision Flood Prediction in Malawi Challenge, beating over one thousand five hundred other teams.
Moruye is currently ranked 11th on the Zindi platform which profiles over 20000 global data scientists.