Prospective MSc researcher · Pokhara, Nepal
I combine field-based agricultural research with GIS, remote sensing, Google Earth Engine, Python, and R to investigate resilient, data-informed farming systems.
MSc research & assistantship fit
I am looking to join a supervisor and research group where agricultural knowledge, quantitative analysis, and place-based fieldwork inform one another. I would value opportunities in the USA or Australia that involve research assistance, data analysis, field experimentation, or geospatial modelling.
How can field observations, crop modelling, and management data help identify practical pathways to more resilient crop production?
How can multi-temporal satellite imagery and vegetation indices improve crop-health monitoring, water-stress detection, and land-use understanding?
How can transparent spatial analysis and reproducible data workflows support farmer-centred and resource-efficient agricultural decisions?
For prospective supervisors: I welcome conversations about MSc positions, funded graduate assistantships, and research collaborations aligned with these themes.
Start a conversationAgriculture and Forestry University (AFU), Rampur, Nepal
Building an interdisciplinary foundation across crop science, experimental research, geospatial analysis, and agricultural data science.
Examples of applied work in satellite remote sensing, GIS analysis, Google Earth Engine, and agricultural data science. Each project reflects an interest in turning spatial evidence into useful, reproducible insight.
Used Google Earth Engine to build dry- and wet-season Sentinel-2 composites and derive five key indices—NDVI, NDWI, SAVI, GCI & PSRI—then applied K-Means clustering for six land-cover classes with pixel-level precision.
Completed End-to-End Google Earth Engine course, mastering global geospatial datasets, dynamic mapping, and remote sensing analyses. Generated high-res watershed maps and classified land-cover maps of Nepal.
Mastered Research Data Analysis with R in 7 days - from messy spreadsheets to publication-ready insights. Advanced statistical analysis, ggplot2 visualizations, PCA, and R Markdown reporting for agricultural research.
Advanced AI-powered trading platform for Nepal Stock Exchange with comprehensive portfolio management, intelligent stock analysis, and complete trading automation. Features real-time data from 240+ stocks, AI-powered recommendations using Google Gemini, and advanced backtesting engine with multiple trading strategies.
Tracking water presence and environmental changes using satellite imagery
Identified seasonal pulses of water presence and persistent negative NDWI patterns
Generated visual maps making invisible water body changes visible for decision-makers
Supporting urban resilience, sustainable tourism, and environmental conservation efforts
Full-stack applications built with modern technologies combining AI, data science, and user-centric design.
A comprehensive stock analysis and backtesting platform for the Nepal Stock Exchange. Features real-time market data, technical analysis, ML predictions, and portfolio management.
A research-oriented mobile AI system for detecting crop diseases from leaf images with scientifically grounded treatment recommendations. Building Nepal Agricultural Disease Dataset (NADD).
A comprehensive Flutter app for agriculture students in Nepal & India. Features study notes, entrance exam prep, mock tests, gamification with streaks & achievements, and Firebase-powered admin panel.
Independent Projects & Freelance Development
"Building the Future with AI" - Advanced development work in AI-powered applications, financial technology, and content generation systems
"Transforming ideas into intelligent, scalable solutions that bridge agriculture, finance, and technology - one AI model at a time!"
PMAMP Morang (Prime Minister Agriculture Modernization Project)
"From Dirt to Data" - 5-month intensive agricultural research internship focusing on plant hormone effects on crop yield
"This journey gave me a whole new appreciation for farming - it's not just about growing plants; it's about nurturing potential and seeing the fruits of your labor, literally!"
Open Mapping Hub Asia Pacific
Leading geographic information systems and mapping accuracy improvements
OpenBootCamp
Full-stack development and web performance optimization
Nobel Learning PCB
Web development and technical training
Insights, tutorials, and thought leadership on precision agriculture, remote sensing, AI technology, and data science from my professional journey
I'm a student in Nepal with no MS, no research grant, and no institutional backing. Here's exactly how I'm positioning myself anyway — through Google Earth Engine, field experiments, applied ML, and public documentation. A specific problem is more credible than a general skillset.
Read on LinkedInA year ago, I was counting tillers in a rice field. Today, I have 8 manuscripts under review, analyze farmland from space using Sentinel-2 imagery, and build ML models to predict crop yield. The path forward is built one uncomfortable step at a time.
Read on LinkedInI learned GIS. Then remote sensing. Then machine learning. Each step felt like starting over. But now I see them as one system — and the moment I stopped learning them separately, everything accelerated.
Read on LinkedInGIS gave me spatial thinking. Remote sensing gave me field-scale visibility. ML gave me predictive power. For agriculture, the real power is in combining all three — not treating them as separate skills.
Read on LinkedInResearchGate record · 2026
View complete record on ResearchGate
Article · Big Data In Agriculture · August 2026
Co-authored with A. K. Roy and D. Wasti. Featured research on varietal comparison in Morang District, Nepal.
Article · Tropical Agrobiodiversity · August 2026
Co-authored with Sabina Upadhyaya, Sachin Chapagain, and Aayushma Chemjong.
Article · Tropical Agrobiodiversity · July 2026
Co-authored with Aayushma Chemjong, Sabina Upadhyaya, and Indona Rai.
NAXA Nepal · February 2025
Training in CROPGRO and CERES crop modules, genetic coefficient calibration for local varieties, simulation of climate–crop interactions and environmental stress responses, model validation against field experimental data, and integration of DSSAT outputs with the R statistical pipeline (tidyverse, agricolae) for ANOVA and variance analysis. Applied in crop physiology research and climate scenario analysis for Nepal’s subtropical terai conditions.
View CertificateDataCamp
Comprehensive certification covering Python programming, data manipulation, visualization, and machine learning fundamentals.
Professional certificate program covering data analysis process, tools, and techniques including SQL, R, and Tableau.
DataCamp
Foundational course covering data science methodology, statistical concepts, and practical applications.
MinnaLearn
Introduction to artificial intelligence concepts, machine learning principles, and AI applications in various domains.
IAAS Nepal LC Puranchaur, Kaski
February 2022 - Present
Handle social media, design posts, conduct meetings, and analyze data for IAAS NEPAL LC PURANCHAUR.
GAVS Puranchaur, Kaski
November 2021 - Present
Conduct physical workshops, design and post social media content, conduct online and physical meetings, manage regular Facebook posts, and work as a field coordinator for the organization.
Attended the "National Exchange Coordinator Meeting 2022" organized by IAAS Nepal LC Puranchaur.
Won 1st place in volleyball game organized by SV Puranchaur on "Mitramani Memorial Sports Week 2080".
A concise record of my education, research preparation, field experience, technical methods, and manuscripts under review.
I would be grateful to connect with professors and research groups in the USA or Australia whose work aligns with precision agriculture, remote sensing, climate-resilient crop systems, or geospatial data science. I am seeking MSc supervision and graduate research assistantship opportunities.
I welcome supervision and assistantship enquiries and will respond within 24–48 hours.