I am a Water Data Scientist with a Ph.D. in Water Science and Technology, specialising in predictive modelling, machine learning, freeze crystallization and real-time data analytics for groundwater, saline wastewater and mine water management. With demonstrated proficiency in Python programming, machine learning, and advanced statistical methodologies, I develop AI-driven solutions for environmental monitoring and resource recovery, with field experience across Africa and Asia. My work spans academic research, industrial technology transfer and international collaboration. As a published researcher and collaborator on interdisciplinary projects, I bring a unique ability to bridge scientific research with practical implementation, advancing data-driven water solutions globally. 

In addition to technical expertise, I have experience in lecturing, student supervision, and developing user-focused interfaces, including GUIs and websites. My goal is to equip your organisation with cutting-edge analytical tools and insights to drive smarter, more sustainable decisions, unlocking the full potential of your data.

My primary focus lies in Mine Water Management within the water sector, where I aim to optimise water usage, treatment, and responsible discharge in mining operations. Beyond this, I extend my expertise to wastewater treatment, agriculture, mining, and engineering.

I contribute to the development of innovative purification processes, the design of sustainable irrigation systems, and the implementation of environmentally responsible mining practices. Additionally, I work to integrate advanced water management principles into engineering projects, ensuring solutions that align with sustainability goals across diverse sectors.