Research Methods for Precision Agriculture
Analytical Tools
- Power BI
- Tableau
- Machine Learning
- Advanced Excel
- Google Analytics
- Power Query
- Technical Analysis (RSI, MACD, Bollinger Bands)
Programming & Development
- Python
- R
- SQL
- JavaScript
- Django
- Flask
- FastAPI
- Google Apps Script
- RESTful APIs
- WebSocket Programming
- Git & GitHub
Data & Cloud Technologies
- MySQL
- PostgreSQL
- MongoDB
- SQLite
- Google Cloud Platform
- Jupyter Notebook
- R Studio
- Anaconda Navigator
- Docker
AI & Machine Learning
- Google Gemini AI
- Google AI Studio
- Pandas & NumPy
- Scikit-learn
- TensorFlow
- Natural Language Processing (NLP)
- Content Generation AI
- Sentiment Analysis
- AI-Powered Trading Systems
Financial & Trading Technology
- Algorithmic Trading
- Portfolio Management Systems
- Risk Assessment & Analytics
- Real-time Data Processing
- Financial API Integration
- Backtesting Engines
- Price Alert Systems
- Email Broadcasting Systems
Professional Skills
- Full-Stack Development
- System Architecture Design
- SEO Optimization
- Content Strategy
- Project Management
- Team Leadership
- Technical Documentation
- Client Communication
Selected Research & Technical Work
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.
Precision Ag in Kaski, Nepal
Used Google Earth Engine to build dry- and wet-season Sentinel-2 composites and derive five indices—NDVI, NDWI, SAVI, GCI and PSRI—then applied exploratory K-Means clustering to six land-cover classes. Field validation is required before operational use.
Google Earth Engine Coursework
Completed an end-to-end Google Earth Engine course covering global geospatial datasets, dynamic mapping, and remote sensing analyses. Generated watershed maps and classified land-cover maps of Nepal.
R Programming for Research
Completed an intensive seven-day research-data-analysis exercise in R, covering data cleaning, statistical analysis, ggplot2 visualisation, principal component analysis, and reproducible R Markdown reporting for agricultural research.
NEPSE AI Trading Platform
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.
Featured: NDWI Analysis for Pokhara Lekhnath
Tracking water presence and environmental changes using satellite imagery
Seasonal Patterns
Identified seasonal pulses of water presence and persistent negative NDWI patterns
Satellite Mapping
Generated visual maps making invisible water body changes visible for decision-makers
Conservation Impact
Supporting urban resilience, sustainable tourism, and environmental conservation efforts
Software Development Projects
Full-stack applications built with modern technologies combining AI, data science, and user-centric design.
PDFCraftly
PDFCraftly is a free, privacy-first PDF toolkit I built, with 38 tools to merge, split, compress, convert, edit, sign and OCR PDF files. Everything runs in the browser, so files are never uploaded to a server.
NEPSE Stock Analysis Platform
A comprehensive stock analysis and backtesting platform for the Nepal Stock Exchange. Features real-time market data, technical analysis, ML predictions, and portfolio management.
Crop Disease Detection System
A research-oriented mobile AI system for detecting crop diseases from leaf images with scientifically grounded treatment recommendations. Building Nepal Agricultural Disease Dataset (NADD).
Agriverse Education Platform
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.