WWF Nepal is an independent conservation organization that focuses on protecting biodiversity, conserving forests and freshwater systems, and mitigating climate change.

Technical Skills

• Developed and deployed a small Convolutional Neural Network Project to classify Landslide with confidence intervals.
• Webdevelopment for Active forest fire watch and risk alert notification within 5km zone.
• Processed historical satellite imagery over 5-year intervals to map wetland dynamics and changes.
• Developed automated NDWI workflows in QGIS for accurate water body extraction across large-scale areas.
• Assessed carbon sequestration and ecosystem service potential of the Chitwan National Park and its bufferzone, using InVEST Model.
• Processed high resolution satellite for Land Cover Classification via Google Earth Engine (GEE).

Forest Research and Training Centre is a Government body under the Ministry of Forests and Environment, responsible for forestry research and survey activities at the national level.

Core Competencies

• Utilized terrestrial & airborne LIDAR for comprehensive forest inventorying.
• Conducted data analysis using R, Python, and geospatial analysis via Google Earth Engine (GEE).
• Performed visual interpretation & time-series analysis with Collect Earth Online (CEO).
• Developed predictive models for species distribution, wetland/forest biomass and ecosystem service.

Institute of Forestry, Hetauda campus is one of the Forest institute under the Tribhuvan University.

• Worked as field enumerator and data analyst toward Sustainable Forest Management project.
• Delivered multiple training and mentorship sessions on wildlife and biodiversity conservation.
• Gained theoretical and practical insight on GIS.
• Organized and developed leadership skill and communication.
• Gained nature-based solutions to disaster management (DDR).