Professional Precision Agriculture Specialist and BSc. Agriculture student from Nepal, expertly skilled in |.
Specialized in advanced satellite imagery analysis, cutting-edge geospatial data science, Google Earth Engine programming, Python & R statistical computing, and precision agriculture solutions. Dedicated to revolutionizing sustainable farming practices, crop monitoring systems, and environmental conservation through innovative remote sensing technologies across Nepal and South Asia. See my experience, certifications, or latest articles.
I am a Precision Agriculture Specialist and BSc. Agriculture student from Nepal with advanced expertise in Remote Sensing Technology, Geographic Information Systems (GIS), and Agricultural Data Science. With professional experience in Google Earth Engine development, Python programming, R statistical analysis, and geospatial analytics tools, I specialize in transforming Sentinel-2 satellite imagery, Landsat data, and geospatial datasets into actionable agricultural intelligence that drives sustainable farming practices and crop yield optimization. Explore my agriculture showcase, browse my projects, or view my technical skills.
Remote Sensing Projects
GIS Applications
Certifications
Hours R Programming
Professional expertise in analyzing Sentinel-2 satellite data, Landsat 8/9 imagery, and MODIS datasets using Google Earth Engine cloud computing for precision agriculture monitoring, crop health assessment, land-cover classification, and agricultural productivity analysis. Specialized in calculating advanced vegetation indices including NDVI (Normalized Difference Vegetation Index), NDWI (Normalized Difference Water Index), SAVI (Soil Adjusted Vegetation Index), GCI (Green Chlorophyll Index), and PSRI (Plant Senescence Reflectance Index) to track crop phenology, water stress detection, irrigation optimization, and seasonal agricultural variations with sub-pixel precision accuracy for sustainable farming practices in Nepal.
Specialized in developing precision agriculture solutions that optimize irrigation, fertilizer application, and crop management. I create automated land-cover classification systems using K-Means clustering to identify Alpine/Barren, Sparse Grazing, Rainfed Cropland, Irrigated Cropland, Mixed Forest & Dense Forest areas with detailed area statistics and insights.
My technical foundation spans across R statistical programming, advanced data visualization, and scientific research methodologies. I have successfully completed comprehensive training in research data analysis, building interactive maps, time-series analysis, and creating publication-ready visualizations for agricultural and environmental applications.
Agriculture and Forestry University (AFU), Rampur, Nepal
Building strong analytical and research foundation while developing data science expertise
Advanced real-world applications of satellite remote sensing, GIS analysis, Google Earth Engine programming, AI-powered trading systems, and agricultural data science for sustainable farming solutions, financial technology, and community building in Nepal and South Asia
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
AI · Content Generation · SEO · Web Application
A sophisticated AI-powered web application that generates high-engagement, SEO-optimized LinkedIn posts using Google's Gemini AI. Features viral content analysis, 100% success content improver, Google AI Studio Imagen integration, real-time trend analysis, and comprehensive usage analytics dashboard with 35+ REST endpoints.
AI · FinTech · Trading · WebSocket · Portfolio Management
An 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 4 trading strategies.
Google Apps Script · Automation · Trading Signals · Email Reports
A comprehensive Google Apps Script system for analyzing Nepal Stock Exchange data with automated trading signals. Processes 250+ NEPSE stocks with advanced technical indicators (RSI, MACD, Bollinger Bands, ATR) and generates automated daily trading reports with email notifications.
Django · Web Development · CMS · NGO Platform
A modern, fully-featured Django website for the Group Of Agriculture and Veterinary Students (GAVS) Puranchaur organization. Built with agriculture-themed modern design, comprehensive content management system, and mobile-first responsive layout serving the agricultural community at AFU, Nepal.
Machine Learning · Financial Analysis
Engineered a precise MACD crossover detection algorithm, enhancing trading signal accuracy through advanced trend confirmation techniques.
Data Visualization · Statistical Analysis
Developed a Python script using pandas and matplotlib to analyze and visualize Netflix dataset with genre-based scatter plots.
Data Analysis · Research Insights
Comprehensive analysis of Nobel Prize data, identifying trends in gender, birth country and laureate patterns over decades.
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 LinkedInManuscripts Under Review (2025–2026) · First Author & Corresponding Author
Under review · TURJAF
Turkish Journal of Agriculture and Food Science. Field study at Katahari, Morang, Nepal.
Under review · JARTS (Scopus Q3)
Journal of Agriculture and Rural Development in the Tropics and Subtropics.
Under review · TRAB
Tropical Agrobiodiversity.
Under review · ASoN
Agronomy Journal of Nepal. Field study in Inner Terai, Dang, Nepal.
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".
Get the complete overview of my skills, experience, and achievements in a professionally formatted PDF document.
Interested in precision agriculture consulting, remote sensing analysis, or Google Earth Engine development? I'd love to hear from you. Let's discuss how data-driven approaches can help your agricultural projects.
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