I'm an Environmental & Water Data Specialist with a Ph.D. in Water Science and Technology, specialising in environmental data analytics, predictive modelling, and highly saline wastewater treatment and management. I develop data-centric solutions to support environmental monitoring, groundwater resilience, and resource recovery, with particular expertise in high-salinity water systems and freeze-crystallization technology. Proficient in Python and advanced statistical analysis, I design predictive models and decision-support tools that transform complex environmental data into actionable insights. My work spans academic research, industrial technology transfer, and international collaboration across Africa and Asia, enabling organisations to improve environmental performance and make informed, sustainable, data-driven decisions.

Environmental & Water Data Science is the application of data analytics, machine learning, and statistical modelling to monitor, analyse, and optimise water resources, water quality, and environmental systems. It transforms complex environmental and water data into predictive insights and decision-support tools that improve sustainability, treatment efficiency, and resource management. My work applies these principles across groundwater, desalination brine, mine water, industrial wastewater, and agricultural systems, where I develop intelligent monitoring platforms and predictive models to enable data-driven environmental management and sustainable water solutions.