CV.

Objective

Geomatics Engineering student seeking a fully funded PhD position in Geospatial AI, with a focus on applying machine learning to remote sensing data for climate and agricultural applications in South Asia.

Education

B.E. Geomatics Engineering — Institute of Engineering, Paschimanchal Campus, Tribhuvan University 2022 – 2027

Research Projects

Ensemble ML for NDVI-Based Crop Yield Prediction — SVR, Random Forest, Gradient Boosting, XGBoost pipeline for wheat yield estimation.

Nepal Disaster Alert Dashboard — React/Leaflet application streaming live earthquake and weather hazard data.

TerraPulse AI — Streamlit MVP concept for Nepal-wide crop health monitoring via Google Earth Engine.

Technical Skills

Python, JavaScript, scikit-learn, TensorFlow, PyTorch, Google Earth Engine, QGIS, ArcGIS, Pandas, NumPy, Git.

Certifications

Google Earth Engine for Geospatial Analysis · Machine Learning Specialization · QGIS for Spatial Data Analysis

Languages

Nepali (native), English (fluent), Hindi (conversational)