About Me

Graduate student in the ABE (Agricultural and Biological Engineering) Department at the University of Florida. My current work is focused on crop modeling and DSSAT. Extensive experience in:

• Field and lab research relating plant physiology with crop growth and yield parameters

• Analyzing field experimental data into predictive modelling and mobile application

• Crop modeling, data digitization, visualization, and automation

Download Resume
about_img
Basic Info
  • Date of birth:

    **/**/****

  • Phone No:

    +9779861569***

  • Email: kapil.bhattarai.161@gmail.com
  • Address:

    Susta-2, Nawalparasi West, Nepal

  • US Number:

    +13522194***

  • Recognition:

    Fellowship recipient from UF ABE Department (July 2025)

My Skills
Machine Learning
75%
Data analysis
90%
Python
80%
R studio
80%
Communication
75%

Awesome Services

Machine learning

Explores the analysis and construction of algorithms that can learn from and make predictions on data.

Data science

The domain of study that deals with volumes of data using modern tools and techniques to find patterns, derive meaningful information, and make decisions.

Freelancer

Performed assigned work within the set deadlines.

Crop Modeling

Working with crop modeling systems and decision support tools. Developing and applying crop simulation models for agricultural research.

Mobile Application

Data visualization of object detection(computer vision) application based on TensorFlow models.

R studio

Familiar with agricolae, ggplot2, mass for biological research data analysis

My Portfolio

Training and Certificates

Basic Image Classification with TensorFlow

April 2022 Coursera project network

Remote Sensing Image Acquisition, Analysis and Applications

March 2022 The university of southwales

Data Analysis with R Programming

june 2021 Coursera

DSSAT Training - University of Georgia

May 19-24, 2025 Completed intensive DSSAT training alongside 72 participants from 28 countries, covering everything from potential production to model applications

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.

Crop Physiology - Wageningen University & UF

November 16-21, 2025 Earned 1.5 ECTS credits through a joint program by Wageningen University's PE&RC and UF's ABE Department

Experiences

1. Plant Paradise, Kadaghari, Kathmandu, Nepal - Mar 2024- Sep 2024

Nursery Manager

  • 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.
2. Ragolski & Son’s Limited Company, Netiv HaAsara, Israel - Aug 2022-Aug 2023

Agriculture internship

  • Exposure to advanced agricultural knowledge and practical training in Ragolski & son’s ltd company, Israel,
  • Specialized in hybrid vegetable varieties, planting, production, nursery management, and marketing of cut flowers in high-tech greenhouses,
  • Conducted spraying, picking, packing, and construction of greenhouses activities in the fields,
  • Coco-peat farming in a controlled environment system.
3. Prime Minister Agriculture Modernization Project Chitwan, Nepal - Feb 2022-Jul 2022

Agriculture intern

  • Conducted training on Mechanization of Rice Farming and nursery management,
  • Conducted training on off-season vegetable production, vermicomposting, and climate-smart agriculture,
  • Conducted Mobile soil sampling, digital soil testing, and soil health Campaign,
  • Completed research assessment on the topic “Precision Nitrogen Management in Spring Rice Using Decision Support Tools in Chitwan, Nepal.”

Research & Projects

1. Precision Nitrogen Management in Spring Rice (Oryza sativa L.) using Decision Support Tools in Chitwan, Nepal

2. Site selection & mapping of data using Python and QGIS.

3. Student performance test using Logit and Probit model.

4. Real-time disease identification application.

5. Stock Analysis Dashboard.

6. Presented poster on "Evaluating the Performance of the DSSAT Cropping System Model" at UF (March 2025)

Development Sprints & Technical Work

7. Virtual participant in the 23rd DSSAT Development Sprint at the University of Kentucky (August 4-8, 2025)

8. Engaged in the 22nd DSSAT Development Sprint at the University of Florida (January 6-10, 2025)

9. Visited the HyperGator supercomputer facility at UF—an incredible resource for computational agricultural research (March 13, 2025)

10. Currently developing Visual Graphical Analysis V2 for DSSAT v4.8.6, enhancing data visualization capabilities for researchers

11. Expanding technical skills in crop modeling using Fortran and Python

Contact Me

Address

Susta-2, Nawalparasi , Nepal

Phone

977-9861569***

Email

kapil.bhattarai.161@gmail.com