

PhD Research Scholar specializing in UAV remote sensing, machine learning, and data collection. Proven ability in managing large-scale field studies and developing predictive models for agricultural water management.
Leveraged UAV GIS remote sensing in conjunction with machine learning approaches to evaluate agricultural and environmental datasets for effective decision-making and resource optimization.
Conducted and managed large-scale field studies centered on crop monitoring, irrigation evaluation, and environmental data gathering.
Carried out Ph.D. study examining precision agriculture and water resource management leveraging UAV-based multispectral and hyperspectral remote sensing technologies.
Building predictive models aimed at optimizing agricultural water management through the use of satellite, UAV, weather, and ground-based sensor data.
UAV remote sensing
GIS analysis
Machine learning
Data collection
Ground-based sensors
Field study management
Research project development
Research dissemination
Academic publishing
Collaborative research
Represented Gaya District in cricket and contributed to the team's historic first-ever championship victory.
Passionate about travel and cultural exploration, with a keen interest in understanding regional agricultural practices, environmental systems, and heritage sites.
Selected for a travel grant/scholarship to present a research poster at the EGU Conference held at Vienna, Austria, facilitating international scientific exchange and dissemination of research findings.