Livingstone Mumelo is an AI and Data Specialist with over 7 years of experience applying advanced analytics and machine learning to humanitarian and development challenges.He currently works with the UN World Food Programme (WFP) in Munich, where he supports AI/ML innovation, data engineering, and decision-support systems aligned with SDG2 (Zero Hunger).He has a strong background in designing scalable data platforms, dashboards, and ETL pipelines to improve operational efficiency and evidence-based decision-making.Previously, he served as Programme Policy Officer (Data & Innovation) at WFP, focusing on digital platforms, predictive analytics, and data-sharing frameworks across government stakeholders.He worked as Lead Data Manager at KEMRI-Wellcome Trust, where he led large-scale health data systems, automation tools, and clinical reporting dashboards.He has also consulted for organizations such as MSF, African Population and Health Research Center, UNDP, and Alliance for Bioversity.His technical expertise includes Python, R, SQL, Power BI, ReactJS, and Django, with strong capabilities in data visualization and machine learning applications.He has developed innovative solutions including predictive models, web-based dashboards, and data quality automation systems in health and agriculture sectors.He is experienced in stakeholder engagement, policy advisory, and translating complex data into actionable insights for governments and international organizations.He holds a Bachelor of Science in Computer Science from Maasai Mara University, Kenya.

AI for Assistance Delivery in Humanitarian sector