Carlo Githinji  is a final-year student at Meru University of Science and Technology (MUST) with a strong interest in data analysis, artificial intelligence, machine learning, and quantitative finance. In her final year project she focused on  image classification of potato crop diseases using Convolutional Neural Networks (CNN). Because potatoes are highly susceptible to disease, she utilized CNN to accurately predict whether a potato leaf is healthy or if it has contracted diseases such as early blight or late blight.

Carlo interned at Kenafric industries limited, where she gained valuable experience in data analysis and problem-solving. She is passionate about using technology to drive social impact and is excited to be a part of the DADA STEM capacity-building program as a mentee, hoping to learn and grow alongside other young professionals in STEM.