Aziz Khan
Aziz drives the advanced predictive and environmental analytics capabilities at Aqlorithm. Serving as a Consultant Data Scientist for the World Bank, he brings deep technical expertise in machine learning and geospatial mapping. He empowers governments and large enterprises to transform fragmented datasets into actionable intelligence, enabling the benchmarking of climate-smart policies and the optimization of large-scale public service delivery.
Geospatial Analytics
Utilizing remote sensing to map vulnerabilities and inform strategic digital governance interventions.
Predictive Modeling
Engineering complex machine learning pipelines to extract insights from unstructured public sector data.
Climate Resilience
Designing and deploying data-driven policies to optimize sustainable environmental infrastructure.