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C
Chisom

Chisom

Geospatial Data Analyst & AI Research Contributor

Denmark flagOdense, Denmark
$50.00/hrExpertOtherClickworkerMindrift

Key Skills

Software

Other
ClickworkerClickworker
MindriftMindrift
TolokaToloka

Top Subject Matter

District heating
land use
solar irradiance

Top Data Types

DocumentDocument
TextText
ImageImage

Top Task Types

MappingMapping
ClassificationClassification
Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
Object DetectionObject Detection

Freelancer Overview

Geospatial Data Analyst & AI Research Contributor. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include QGIS and Other. Education includes Master of Science, University of Southern Denmark (2025) and Bachelor of Science, Nnamdi Azikiwe University (2017). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Document and labeling workflows including Mapping and Classification.

ExpertEnglish

Labeling Experience

Sustainability Engineer — Energy & Waste Efficiency

OtherDocumentClassification
As a Sustainability Engineer, I constructed and labelled datasets relating to waste stream records by various process and environmental factors. I tagged and categorised process data, supplying structured datasets for energy optimization and AI-assisted analytics. Accuracy checking and error correction were integral to preparing clean ingestion-ready data. • Built and labelled waste type, regulatory, and energy datasets. • Applied process classification and tagging to 200+ records. • Ensured dataset quality for comparative and AI-assisted analysis. • Handled error identification and correction before model ingestion.

As a Sustainability Engineer, I constructed and labelled datasets relating to waste stream records by various process and environmental factors. I tagged and categorised process data, supplying structured datasets for energy optimization and AI-assisted analytics. Accuracy checking and error correction were integral to preparing clean ingestion-ready data. • Built and labelled waste type, regulatory, and energy datasets. • Applied process classification and tagging to 200+ records. • Ensured dataset quality for comparative and AI-assisted analysis. • Handled error identification and correction before model ingestion.

2024 - 2025

Environmental Engineer — LCA & Systems Modelling

OtherDocumentClassification
As an Environmental Engineer, I applied structured review and annotation protocols to environmental datasets. I verified, categorised, and flagged environmental impact data, mirroring annotation work found in AI evaluation. This included text categorisation and structured documentation across technical domains and impact categories. • Used ISO 14040/14044 Q.A. with dataset classification workflows. • Categorised impact data as part of client deliverable preparation. • Applied engineering fact-checking and annotation discipline. • Performed structured reporting for downstream AI/analytical use.

As an Environmental Engineer, I applied structured review and annotation protocols to environmental datasets. I verified, categorised, and flagged environmental impact data, mirroring annotation work found in AI evaluation. This included text categorisation and structured documentation across technical domains and impact categories. • Used ISO 14040/14044 Q.A. with dataset classification workflows. • Categorised impact data as part of client deliverable preparation. • Applied engineering fact-checking and annotation discipline. • Performed structured reporting for downstream AI/analytical use.

2024 - 2025

Geospatial Data Analyst & AI Research Contributor

Mapping
As a Geospatial Data Analyst and AI Research Contributor, I processed and annotated geospatial datasets to support machine learning ingestion. I prepared labelled vector and raster layers, ensuring data quality for spatial coverage, land-use classification, and solar irradiance mapping. My annotation work was crucial for neural network training and spatial reconstruction in energy infrastructure projects. • Annotated and cleaned geospatial imagery and tabular spatial data for ML. • Used QGIS and Python (TensorFlow/Keras) for data handling and segmentation. • Focused on district heating networks, land use, and solar irradiance mapping. • Produced correction logs and technical documentation for reproducibility.

As a Geospatial Data Analyst and AI Research Contributor, I processed and annotated geospatial datasets to support machine learning ingestion. I prepared labelled vector and raster layers, ensuring data quality for spatial coverage, land-use classification, and solar irradiance mapping. My annotation work was crucial for neural network training and spatial reconstruction in energy infrastructure projects. • Annotated and cleaned geospatial imagery and tabular spatial data for ML. • Used QGIS and Python (TensorFlow/Keras) for data handling and segmentation. • Focused on district heating networks, land use, and solar irradiance mapping. • Produced correction logs and technical documentation for reproducibility.

2024 - 2025

Education

N

Nnamdi Azikiwe University

Bachelor of Science, Chemical Engineering

Bachelor of Science
2011 - 2017
U

University of Southern Denmark

Master of Science, Environmental Engineering

Master of Science
2023

Work History

S

SDU GreenLab

Sustainability Engineer

Odense
2024 - 2025
N

NIRAS

Environmental Engineer

Odense
2024 - 2025