Dipendra Wagle

STV

BIOGRAPHY

Dipendra Wagle serves as the senior data scientist and engineer at STV's Center of Excellence for Digital Solutions. His experience of over 14 years spans engineering, water systems, and predictive analytics, developing machine learning models that improve operational efficiency and reduce asset failure in water infrastructure.

Dipendra developed a machine learning model to assess pump health using real-time sensor data, optimizing maintenance schedules and reducing failure risks across water systems. His work connects predictive analytics with infrastructure operations, enabling data-driven maintenance decisions that reduce downtime in water networks.