Jabbar is a data and spatial data scientist and an environmental consultant. He is skilled in data integration, analysis, and visualisation. He uses ETL processes for analysing data to develop analytical and automated workflows and to develop predictive statistical and machine learning models from conceptual to practice.

With a background in spatial ecohydrology and environmental science, Jabbar is interested in using spatial analysis to assess land and water interactions and monitor changes across various biomes, catchments, and cities. He is experienced in analysing data on climate, climate variability modes (e.g., ENSO, IOD, SAM, and IPO), and extreme events such as droughts and wildfires.

Jabbar is proficient in collaborating and communicating information with broad consulting and stakeholder engagement, delivering valuable reports and outcomes for clients.