Bridging Field Research With Data-Driven Insights
My Story
I am an agricultural data scientist who bridges the gap between field research and actionable analytics. My work focuses on helping organizations make better crop management decisions through simulation modeling, satellite data, and machine learning.
From Nepal to Florida
My journey began in Nepal, where I developed a deep understanding of agriculture at the ground level — working with farmers, understanding soil, and seeing firsthand the challenges of food production. This foundation shaped my mission: to make agriculture smarter through data.
An internship in Israel at Ragolski & Son's Ltd exposed me to advanced greenhouse operations, hybrid vegetable varieties, and precision growing systems. I saw how technology could transform agricultural productivity at scale.
Now at the University of Florida, I'm pursuing my MS in Agricultural & Biological Engineering as a UF Fellowship recipient, specializing in DSSAT crop modeling and predictive analytics for agricultural systems.
Work Experience
Professional roles across Nepal, Israel, and beyond.
Nursery Manager
Plant Paradise — Kadaghari, Kathmandu, Nepal- Conducted nursery operations including plant propagation, production, and sales.
- Identified infrastructure needs, procurement, and sales planning.
- Managed website updates, social media operations, and digital marketing efforts.
- Provided leadership in human resource management, including staff training and development.
- Collaborated with the Director to ensure effective financial planning and budgeting.
Agriculture Intern
Ragolski & Son's Ltd — Netiv HaAsara, Israel- Gained advanced agricultural knowledge and practical training in a leading Israeli agribusiness.
- Specialized in hybrid vegetable varieties, production, nursery management, and marketing of cut flowers in high-tech greenhouses.
- Conducted spraying, picking, packing, and greenhouse construction activities.
- Practiced coco-peat farming in a controlled environment system.
Agriculture Intern
Prime Ster Agriculture Modernization Project — Chitwan, Nepal- Conducted training on mechanization of rice farming and nursery management.
- Delivered training on off-season vegetable production, vermicomposting, and climate-smart agriculture.
- Performed mobile soil sampling, digital soil testing, and soil health campaigns.
- Completed research on "Precision Nitrogen Management in Spring Rice Using Decision Support Tools in Chitwan, Nepal."
Technical Skills
Specific tools and technologies across my areas of expertise.
Crop Modeling
- DSSAT v4.8
- Model calibration
- Scenario analysis
- Fortran (learning)
- Field trial design
Data Science & ML
- Scikit-learn
- TensorFlow
- Predictive modeling
- Time series analysis
- Data visualization
Geospatial
- QGIS / ArcGIS
- Remote sensing
- NDVI / satellite imagery
- Spatial statistics
- GeoPandas
Programming
- Python
- R / RStudio
- SQL
- Git / GitHub
- Shiny apps
Certifications & Achievements
AI Fluency: Framework & Foundations
Comprehensive course on AI frameworks, ethical AI development, and human-AI collaboration.
AI Fluency for Students
Practical skills for integrating AI responsibly into research and academic workflows.
DSSAT 2025 International Training Program
Crop production, water & nutrient management, climatic risk and environmental sustainability with simulation models. Griffin, GA.
“The most powerful outcomes emerge when humans and AI build on each other's strengths. AI Fluency is a journey of continuous learning and ethical development.”
Professional Certifications
Basic Image Classification with TensorFlow
April 2022 • Coursera Project Network
Remote Sensing Image Acquisition, Analysis and Applications
March 2022 • University of South Wales
Data Analysis with R Programming
June 2021 • Coursera
Introduction to Machine Learning
April 2021 • Duke University
Working with Geospatial Data in Python
April 2021 • DataCamp
Getting Started with AWS Machine Learning
May 2021 • AWS
Academic Profiles
Connect with me on academic platforms.