NEARLY FIVE DECADES · FORESTRY, ENVIRONMENT & DATA
Rajbir Singh
Bondwal
Forest, Environment & Data Analytics Consultant
Nearly five decades of forestry and environmental experience, now extended through geospatial technology, data analytics and emerging AI-assisted workflows for better decisions.
ABOUT
Domain depth, strengthened by data.
Rajbir Singh Bondwal is a forestry and environmental professional whose work now brings together domain knowledge, geospatial technology, data analytics and decision support. His professional foundation was laid through forestry training at NFRC Dehradun in 1976–78, followed by work across forest management, forest survey, research, informatics, ecology, environmental management and technical leadership.
What distinguishes this profile is the ability to connect field observations, administrative records and spatial information with structured analysis and clear visualisation. The objective is not technology for its own sake, but turning complex environmental and geospatial information into useful evidence for planning, management and action.
Alongside current consulting and teaching work, Rajbir is systematically extending this foundation through hands-on learning in Python, modern data analytics and AI tools. These emerging capabilities are being developed as practical extensions of long-standing forestry and environmental expertise.
- Forest Working Plans & Forest Management
- Remote Sensing, GIS & GPS
- Forest Informatics & Spatial Data
- Biodiversity & Ecosystem Analysis
- Environmental Assessment & Planning
- Urban Environment Management
- Forest Inventory & Land-cover Mapping
- Excel, Power BI & Dashboard Development
- Technical Training & Capacity Building
PROFESSIONAL EVOLUTION
Nearly five decades, one continuous thread.
A journey that began with forestry training in 1976–78 at NFRC Dehradun, and moved through field forestry, forest survey, remote sensing and GIS, ecology and environmental management — arriving in recent years at data analytics, visualisation and decision support. The next stage adds Python, modern analytics and emerging AI-assisted workflows to that same domain foundation.
HOW I WORK
From field reality to better decisions.
The value lies in connecting domain understanding with data, spatial analysis and clear visualisation — moving from what is observed and recorded to what can be understood, communicated and acted upon.
EXPERTISE
Six layers of capability.
EXPERIENCE
A transect through the field.
The professional journey began with forestry training in 1976–78. The entries below are selected documented appointments from 2011 onward—highlights rather than a complete record of the earlier career. The Forest Working Plan consultancy (Mar 2021–present) and SEAC membership (Feb 2022–Feb 2025) ran concurrently; SEAC concluded in February 2025, while the Working Plan consultancy continues into its final phase.
FEATURED WORK
Selected assignments.
TEACHING & CAPACITY BUILDING
Learn. Analyse. Visualise. Decide.
Alongside field, analytical, consulting and capacity-building work, Rajbir teaches Remote Sensing, GIS, Excel and data analysis. His teaching experience includes FRI University MSc students, senior forest officers and probationers, and more recently an Excel dashboarding session for management students at GNIOT Institute of Management Studies. He is extending the same learn-and-apply approach to Python, modern analytics and AI tools, with emphasis on practical use rather than technology for its own sake.
CURRENTLY
Open to focused, remote and part-time work.
Rajbir is available for focused, remote and part-time assignments where forestry, environment, geospatial technology and data need to work together — including forest and biodiversity analytics, GIS and remote sensing, dashboard development, research support and technical training. Alongside these assignments, he is building practical capability in Python, modern analytics and AI-assisted workflows as a natural extension of his domain foundation.
CONTACT
Let's turn data into better decisions.
Have a project, research requirement, training need, environmental-data challenge or geospatial problem to discuss?