Resume

Summary

Milan Dhakal

  • Bharatpur, Nepal
  • Forestry graduate with experience in wildfire risk modeling, GIS, and remote sensing. Skilled in Python, R, and ecological research. Passionate about using data and fieldwork to understand how ecosystems respond to climate change.

Education

Agriculture and Forestry University

2018 - 2023

Faculty of Forestry, Hetauda Makawanpur

Noteworthy courses:
  • Silviculture and Forest Ecology
  • Forest Management
  • Wildlife Management
  • Soil and Watershed Management
  • GIS and Remote Sensing

Thesis: Forest Fire Risk Modeling Using Geospatial Tools and Techniques in Chure Terai Madhesh Landscape (CTML)

Intermediate Science Level

2015 - 2017

Saptagandaki Multiple Campus, Bharatpur 10

Physics, chemistry, Biology, and Math

School Leaving Certificate (SLC)

Shree Deurali Secondary School

Kaligandaki Rural Municipality, 06 Gulmi

Training & Certifications

Going Places with Spatial Analysis

March 2024

Esri

6-week free online course on spatial thinking and GIS application

Introduction to Geospatial Data Analysis with Google Earth Engine

Jan 2024

UNU Institute for Water, Environment and Health

Visual Image Interpretation of Forest Cover Change Using CEO

5 – 11 Jul 2023

Forest Research and Training Centre (FRTC) & World Bank, Kathmandu, Nepal

Focused on forest degradation and forest cover change analysis for carbon trade

Forest Resource Assessment (FRA) Inventory Guideline, 2022

5 – 11 Jul 2023

Forest Research and Training Centre, Kathmandu, Nepal

Deep Learning in Forest Research

Jan 2023

Building a Resilient Churia Region in Nepal (BRCRN)

Parliamentary Resolution for Invasive Alien Species Management Policies

2 – 5 Jan 2022

Faculty of Forestry (AFU) & The Tony Hagen Foundation

Training on Handling and Operating Camera Traps

5 – 10 April 2021

Parsa National Park Office & Zoological Society of London (ZSL)

Community Forest Constitution and Operational Plan Preparation

7 – 17 July 2020

Faculty of Forestry (AFU)

Leadership and Volunteering

Event & Campaign Coordinator — Vulture Conservation Awareness Campaign,

sep 2022

Bird Conservation Nepal, in coordination with Nepalese Youth for Climate Action, Hetauda

  • Coordinated public outreach events and delivered oral presentations to raise awareness on vulture conservation.
  • Professional Experience

    Trainer – Bamboo Cultivation & Market Development

    April 2025

    Supported by Forest and Farm Facility (FAO) & Women Agricultural Entrepreneurs Group

    • Conducted a training session on bamboo cultivation, sustainable management, and market development in Kawasoti, Nawalpur District.
    • Focused on building capacity among local women agricultural entrepreneurs.
    • Provided practical guidance on bamboo value chains and income-generating opportunities.
    • Jan 2026
    • Bamboo-based agroforestry systems, and sustainable raw material production

    Community Forestry Works

    2020 – Ongoing · Community Engagement

    Central and eastern Nepal

    Conducted fieldwork across forest sites during the B.Sc. Forestry program, from data collection to drafting operational plans and constitutions with local communities.

    • Spent a month in Khotang District observing local forest management and community roles.
    • Studied traditional forest use in mountain areas including Okhaldhunga and Solukhumbu.
    • Worked on community forestry and scientific forest management in Makawanpur, Bara, and Chitwan.
    • Gained experience across diverse ecological zones and local forestry governance.

    Internship Trainee

    Aug 2023 – oct 2023 · 2 months

    Ramat Negev International Training Center, South District, Israel

    • Learning and Earning Program at Ramat Negev International Training Center, Israel.
    • Focused on plant science and collaborated with people from diverse cultural and national backgrounds.
    • Gained hands-on experience in plant science, teamwork, and cross-cultural communication.
    • Immersed in Israel’s rich history and culture, contributing to personal growth.
    • Although the program ended early due to unforeseen reasons, it provided lasting skills and valuable insights.

    Research Intern

    Feb 2023 - July 2023 · 6 months

    Forest Research and Training Centre (FRTC), Kathmandu, Nepal

    • Developed allometric equations for seven major tree species, involving fieldwork, lab analysis, data entry, and data cleansing.
    • Assessed bamboo resources outside forest areas using visual image interpretation via Collect Earth Online (CEO).
    • Conducted laboratory work for biomass modeling and implemented QA/QC processes.
    • Participated in LiDAR-based scanning field surveys in western Nepal.
    • Applied research methodologies in forest data analytics and statistical analysis.
    • Performed land use/land cover analysis, carbon mapping, and forest degradation/restoration mapping for carbon trade initiatives.

    Field Assistant – Allometric Equation Development

    Feb 11 – 18, 2023

    PEES–RAJDEVI–SMART–JV, with technical support from Forest Research and Training Centre (FRTC), Kathmandu, Nepal

    • Conducted fieldwork in western Nepal for developing allometric equations of seven major tree species.
    • Collected biophysical tree data and biomass samples for forest carbon estimation.
    • Worked in coordination with technical teams from FRTC for data standardization and accuracy.

    Field Crew Member – Digital Soil Mapping Project

    Feb 18 – Mar 3, 2021 · 2 weeks

    National Soil Science Research Center (NSSRC), NARC, Makawanpur District, Nepal

    • Participated in soil survey and sampling for the Digital Soil Mapping of Nepal initiative.
    • Project led by CIMMYT in collaboration with NSSRC under the Nepal Agricultural Research Council (NARC).
    • Collected and classified soil samples across diverse physiographic zones, focusing on physical and chemical properties.
    • Analyzed characteristics such as texture, structure, porosity, pH, and organic matter directly in field soil pits.
    • Contributed to a national soil information system integrating field data with satellite-derived covariates and machine learning for spatial prediction.
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