Alamzoi Consultancy

Turn complex spatial and field data into practical decisions.

I help organisations analyse geospatial data, automate workflows and build decision-support tools. My work combines GIS, remote sensing and applied AI with agricultural engineering and field experience.

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Based in Leuth, NetherlandsRemote projectsAgreed on-site collaborationProject, day/hour or ongoing support

Live geospatial analysis

Pick a location, get a real analysis.

Choose a sector below, then click the map or search a place. When the live analysis service is reachable you get a real result computed from public satellite datasets for that exact spot; if it's temporarily unavailable, a clearly labeled illustrative example is shown instead.

Live analysis demo

Location search by OpenStreetMap / Nominatim. Click the map, or search, to pick a point.

What this sector shows

Crop monitoring, farm-data workflows, advisory tools, technology assessment, satellite field analysis and digital agriculture pilots.

Click the map or search a place, then press "Analyse this location."

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Core services

Five practical service offers.

Each assignment starts with the problem, available data, decision context and deliverables. Technical tools are selected after the scope is clear.

A. Geospatial analysis and remote sensing

Turn spatial and satellite data into usable evidence.

Client problem

You need to understand land use, vegetation, field conditions, spatial change or differences between areas.

What I can deliver

Satellite and GIS data processing, land-use and vegetation analysis, spatial comparisons, maps, documented datasets, reproducible analysis and a findings report.

Relevant example

Crop-stress and remote-sensing analysis, plus ZaminAI as a digital agriculture product example.

Secondary stack: GIS, QGIS, Python, Sentinel/Copernicus, Google Earth Engine and PostGIS where appropriate.

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B. Data engineering and workflow automation

Make repeated analysis maintainable.

Client problem

Your team spends too much time cleaning files, combining datasets, preparing reports or repeating GIS workflows manually.

What I can deliver

Cleaned and combined datasets, scripts, data pipelines, documentation and handover for satellite, weather, sensor and operational data workflows.

Relevant example

Sensor-data workflows and agricultural monitoring materials show capability across data collection, processing and reporting.

Secondary stack: Python, SQL/PostgreSQL, APIs, data validation, dashboards, cloud or local deployment as agreed.

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C. Applied AI and decision-support tools

Use machine learning where it is justified.

Client problem

You have data and a decision question, but need to know whether modelling, classification, forecasting or an AI-assisted interface is useful.

What I can deliver

Problem assessment, baseline models, evaluated prototypes, dashboards, APIs or practical interfaces with documented limitations and handover.

Relevant example

Crop-stress modelling and ZaminAI demonstrate applied AI and software development without making generic accuracy claims.

Secondary stack: machine learning, explainable analysis, evaluation, Python, web applications and data visualisation.

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D. Precision agriculture and digital farming

Plan digital tools around real farm and advisory workflows.

Client problem

You want to test or improve satellite monitoring, sensors, farm data, digital advisory workflows or precision-agriculture training.

What I can deliver

Needs assessment, monitoring pilot design, farm-data and sensor integration plan, technology selection, implementation roadmap and training.

Relevant example

ZaminAI, precision-agriculture training materials and agricultural engineering work provide the strongest sector fit.

Secondary stack: remote sensing, field data, weather, sensors, GIS dashboards and advisory workflow design.

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E. Agricultural engineering and feasibility

Compare technical options before committing budget.

Client problem

A machinery, process, technology or implementation option needs technical assessment before procurement, pilot design or scale-up.

What I can deliver

Technical assessment, machinery and process comparisons, mechanisation planning, feasibility studies and recommendations with stated assumptions.

Relevant example

Agricultural engineering education, mechanization services and development assignments support this service area.

Secondary stack: agricultural machinery, process assessment, engineering analysis, documentation and implementation planning.

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Who I help

Sectors where the work can create practical value.

Completed experience and potential applications are labelled clearly, so the site does not imply clients or delivered work that are not evidenced.

Completed and relevant experience

Agriculture and AgriTech

Crop monitoring, farm-data workflows, advisory tools, technology assessment, satellite field analysis and digital agriculture pilots.

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Potential application

Municipalities and urban planning

Public spatial-data integration, land-use change, green-space analysis, heat-exposure mapping and reporting dashboards.

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Relevant domain overlap

Water and environment

Drought indicators, surface-water and land-cover mapping, monitoring workflows and environmental data integration.

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Technical support fit

Engineering and energy teams

Specialist GIS and Python support, processing automation, spatial screening, feasibility inputs and project dashboards.

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Professional experience

International development and NGOs

Programme data, agricultural assessments, monitoring tools, spatial databases, technical reporting and practical training.

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Exploratory application

Insurance-related spatial analysis

Exposure mapping and event context can be explored where the data and scope fit. This is not presented as insurance pricing, loss modelling or validated hazard prediction expertise.

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Selected work and evidence

Examples that show relevant capability.

These examples are separated by status: product, previous professional work, research or portfolio demonstration. Unsupported metrics are intentionally omitted.

Independent product

ZaminAI

ZaminAI is an agricultural technology product developed by Maiwand Alamzoi and used here as portfolio evidence of applied software, agricultural data, GIS-oriented thinking and multilingual advisory product development.

Work completed: Product concept, user-facing website/application work, agricultural workflow design and decision-support positioning.

Research and modelling evidence

Crop-stress and remote-sensing analysis

Existing project materials refer to crop-stress modelling and remote-sensing work. The consultancy site presents this as evidence of technical capability in agricultural analysis, not as a guaranteed disease diagnosis or yield-prediction service.

Work completed: Data preparation, modelling-oriented analysis and interpretation of agricultural signals for decision-support contexts.

Portfolio demonstration

Netherlands environmental and climate-data dashboards

Existing materials include environmental and climate-data dashboard work relevant to geospatial workflows, public datasets and spatial reporting.

Work completed: Dashboard-style presentation, spatial data processing and environmental indicator communication for demonstration or portfolio use.

Previous professional work

Sensor-data and agricultural monitoring workflows

Project materials refer to sensor-driven agricultural monitoring and engineering-oriented workflow experience. This supports assignments that connect field measurements, operational data and reporting.

Work completed: Monitoring workflow support, data interpretation and technical implementation experience across agricultural contexts.

Professional experience

Agricultural engineering and development assignments

Existing materials refer to agricultural mechanization services, technical training, FAO national-consultant experience and international agricultural development work.

Work completed: Agricultural engineering assessment, capacity development, technical reporting and field-aware advisory support.

About Maiwand Alamzoi

Agricultural engineering background with geospatial, data and software practice.

I am Maiwand Alamzoi, founder of Alamzoi Consultancy. I work at the intersection of agricultural engineering, GIS, remote sensing, applied AI and practical software delivery.

My existing materials describe an M.Tech in Agricultural & Food Engineering from IIT Kharagpur, a B.Tech in Agricultural Engineering from Don State Technical University, and professional experience across agricultural mechanization, precision-agriculture training, crop-stress analysis, sensor-data workflows and international development assignments.

Based in Leuth, Netherlands. Available for remote projects and agreed on-site collaboration.

Engagements

How paid work starts.

After an initial discussion, I provide a proposal with the scope, deliverables, timeline and fee.

Free introductory call

A 20-minute conversation to understand the problem and assess fit.

Paid assessment

A defined review of available data, workflows or technical options, with findings and recommended next steps.

Fixed-scope project

Agreed deliverables, responsibilities, timeline and price for implementation, analysis, advisory or feasibility work.

Ongoing technical support

An agreed allocation of time for implementation, analysis, maintenance or advisory work.

Contact

Discuss your project.

Send a short enquiry with the problem, available information and desired timing. If the request fits, the next step is a scoping conversation or a written proposal.

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