Geospatial Human Risk Quantification
Using SafeGraph location observation data and Databricks/Spark, built a geospatial model to quantify human risk around utility infrastructure — helping...
Osmose
A utility-infrastructure company where geospatial risk modeling and data engineering were applied to physical-world asset prioritization.

Osmose represents the extension of Michael Orlando’s data systems work into utility infrastructure and field operations. The engagement focused on geospatial risk quantification and decision support around real-world assets.
Using SafeGraph location observation data and Databricks/Spark, built a geospatial model to quantify human risk around utility infrastructure — helping...