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R
Raphael M.

Raphael M.

Geospatial Data Specialist | GIS Analyst | Statistical Consultant

Kenya flagNairobi, Kenya

Key Skills

Software

ClickworkerClickworker
CloudFactoryCloudFactory
Data Annotation TechData Annotation Tech

Top Subject Matter

Geography & GIS
Environmental Science
Data Science & Analytics

Top Data Types

Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
DocumentDocument

Top Task Types

PolygonPolygon
Object DetectionObject Detection
Question AnsweringQuestion Answering
PolylinePolyline
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I am a technical specialist with hands-on experience in geospatial data processing, statistical analysis, and feature mapping. My background in GIS (using QGIS and SAGA) involves cleaning, validating, and structuring complex spatial datasets to derive actionable insights for disaster management and environmental planning. I possess a strong eye for detail, particularly in verifying data accuracy, identifying spatial patterns, and ensuring consistent labeling across datasets. I am highly comfortable with data-intensive workflows, technical documentation, and applying analytical rigor to ensure high-quality AI training outcomes.

Labeling Experience

Geospatial Feature Annotation & Mapping (Makueni County)

Geospatial Tiled ImageryGeospatial Tiled ImageryPolygonPolygon

As a GIS researcher, I have conducted extensive data labeling and annotation of geospatial features using QGIS and SAGA Next Gen. My responsibilities included: Data Annotation & Digitization: Precise polygon and polyline annotation of man-made and natural features (road networks, hydrological channels, and administrative boundaries) from high-resolution satellite/topographical imagery. Quality Validation: Performing rigorous data cleaning and topological error correction to ensure the geometric integrity of the geospatial layers. Data Structuring: Preparing complex spatial data for use in hydrological modeling and disaster management analysis, ensuring data follows strict naming and formatting conventions for integration into predictive models. This experience has developed my eye for spatial accuracy and my capability to manage technical, high-precision datasets which are critical for the training of advanced geospatial AI systems.

2025 - Present

Education

T

The Cooperative University of Kenya

Disaster Risk Management And Sustainable Development, Science

Disaster Risk Management And Sustainable Development
2023 - 2026

Work History

G

Geospatial Analysis Project

Geospatial Analyst (Project-Based)

Nairobi
2024 - 2024
C

Cooperative University of Kenya

Student (Disaster Risk Management and Sustainable Development)

Nairobi
2020 - 2024