Ankit Prashnani

Responsible for managing geospatial data acquisition and analysis for flood models, initiate deep learning projects to enhance catastrophe model workflows, and lead diverse initiatives, from developing a hydrogrid engine to optimize loss calculations to leveraging hydrology expertise to build hazard maps.

Managed projects and led the development of custom Python libraries for cross-platform model compatibility, enhancing team workflows through efficient data processing and geospatial analysis.

Developed team-wide standards and Python libraries for geospatial data processing, designed quality-analysis workflows to enhance flood hazard maps using hydrological metrics and machine learning, and generated pluvial flood maps through comprehensive hydrodynamic modelling and quality assurance.