TITLE: Data Scientist, Community Manager - Zindi Short Bio Rose Delilah Gesicho is a dynamic leader in data science and community engagement, currently serving as a Data Scientist and Community Manager at Zindi, Africa's largest data science network. With a strong foundation in Information Technology and Data Science, Rose has dedicated her career to empowering individuals and communities across Africa in the realm of emerging technologies. Her career trajectory is marked by significant contributions, including her role as a Data Science Technical Trainer at Moringa School in Nairobi, Kenya, where she guided aspiring data professionals in building their technical skills. As the Community Chair for Deep Learning Indaba, she plays a pivotal role in uniting AI communities across Africa, fostering collaboration, and advancing the practice of AI on the continent. At Zindi, Rose leads a team of over 200 ambassadors across more than 30 countries, nurturing vibrant AI communities that are actively building innovative solutions. Under her leadership, Zindi has become a key player in developing a thriving AI ecosystem in Africa. Her efforts extend to moderating and speaking at conferences, advocating for the transformative power of data science to drive innovation and organizational growth. She has spearheaded partnerships with global corporations, including Microsoft, and played a key role in promoting Responsible AI practices across major African markets like Egypt, Kenya, South Africa, and Nigeria. Beyond her work at Zindi, Rose also contributes as a Learning Program Manager at Alliance4ai and creates content that highlights the importance of AI for the future of work. As a member of the UNESCO expert network for Women for Ethical AI, she works to develop frameworks that promote inclusivity and ethical practices in AI. Rose's tireless commitment to equipping Africa’s youth with the knowledge and skills to thrive in data science positions her as a trailblazer in Africa’s tech ecosystem. Her vision and leadership continue to shape the global landscape of data science and emerging technologies, making her a key figure in advancing innovation and empowerment across the continent.