MSc Electronic Engineering graduate with Distinction from the University of Hertfordshire, coupled with a First Class Honors in Electrical and Electronic Engineering. Eager to contribute to cutting-edge projects and excel in a dynamic engineering environment.
Their work focuses on developing predictive models for water consumption, optimizing usage patterns through advanced data processing, and automating water neutrality reporting with AI. Lasanda also leads the development of dashboards for monitoring the quality of recycled greywater and rainwater, ensuring real-time insights for sustainable water management. A key advocate for Explainable AI (XAI), they integrate transparency into AI-driven solutions, enhancing decision-making for businesses and policymakers. Their innovative approach is shaping the future of smart water management, contributing to global efforts in sustainability and environmental resilience.