Monotonectally conceptualize economically sound value after accurate growth strategies. Quickly parallel task client-centric materials with worldwide technologies. Assertively re-engineer interoperable customer
Sylvia Njenga is a final-year Applied Computer Science student at Chuka University with a deep passion for leveraging technology to make a positive impact. Sylvia is a dedicated Rotaractor and actively engages in projects that support community development. Her academic interests lie in machine learning, data science, and artificial intelligence, areas in which she continues to grow her expertise. Currently, she is working on a project focused on Cooking Gas Flow Detection and Alert Systems and is also writing a seminar paper titled, “AI-Driven Techniques for Optimizing Geothermal Energy Generation and How to Improve Them Further.” This research explores how AI can enhance the efficiency and sustainability of geothermal energy generation.
Sylvia’s industry experience includes a valuable attachment at Kengen, where she gained hands- on knowledge in IoT and honed her problem-solving skills. She also completed an internship with the Eczema Society of Kenya as a social media and IT support staff, where she developed skills in social media management and poster creation. A passionate advocate for technology-driven societal change, Sylvia is also a proud graduate of
the DADASTEM mentorship program’s first cohort. Through this program, she gained significant insights and guidance from her mentor, Madam Faith Katua. With a strong foundation in both technical skills and community service, Sylvia is committed to using her expertise in
technology to drive positive change and make a meaningful impact in society.