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Labeeqa Zaheer

Labeeqa Zaheer

Data Analyst – AI Training Data Preparation (West Africa Blue)

PAKISTAN flag
Remote, Pakistan
$25.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

Geospatial analysis
Environmental monitoring
Remote sensing

Top Data Types

ImageImage

Top Task Types

Segmentation
Classification
Polygon
Polyline
Data Collection

Freelancer Overview

Data Analyst – AI Training Data Preparation (West Africa Blue). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Institute of Space Technology (2021) and Bachelor of Science, University of the Punjab (2017). AI-training focus includes data types such as Geospatial and Tiled Imagery and labeling workflows including Segmentation and Classification.

ExpertUrduEnglish

Labeling Experience

Data Analyst – AI Training Data Preparation (West Africa Blue)

Segmentation
As a Data Analyst at West Africa Blue, I prepared and structured large geospatial datasets for training deep learning models. My responsibilities included annotating satellite imagery for environmental monitoring and performing data validation. I ensured high-quality and consistent labels to support AI model development workflows. • Labeled features such as water bodies, vegetation, built-up areas, and agricultural fields. • Maintained structured labeling and QA workflows for large-scale TB-level data. • Supported multi-temporal dataset analysis for time-series AI tasks. • Contributed to accurate and model-ready data preparation.

As a Data Analyst at West Africa Blue, I prepared and structured large geospatial datasets for training deep learning models. My responsibilities included annotating satellite imagery for environmental monitoring and performing data validation. I ensured high-quality and consistent labels to support AI model development workflows. • Labeled features such as water bodies, vegetation, built-up areas, and agricultural fields. • Maintained structured labeling and QA workflows for large-scale TB-level data. • Supported multi-temporal dataset analysis for time-series AI tasks. • Contributed to accurate and model-ready data preparation.

2024 - Present

Geospatial Analyst – Annotation & Dataset Preparation (Bussola)

Segmentation
As a Geospatial Analyst at Bussola, I performed annotation, mask generation, tiling, and prepared datasets for segmentation using the U-Net model. My work focused on training data creation and supporting end-to-end deep learning AI workflows. I maintained the integrity of labels through a combination of manual annotation and structured processes. • Annotated and segmented satellite imagery for object detection and classification. • Prepared and managed data masks for deep learning applications. • Coordinated with technical teams for workflow documentation. • Implemented quality control across various project stages.

As a Geospatial Analyst at Bussola, I performed annotation, mask generation, tiling, and prepared datasets for segmentation using the U-Net model. My work focused on training data creation and supporting end-to-end deep learning AI workflows. I maintained the integrity of labels through a combination of manual annotation and structured processes. • Annotated and segmented satellite imagery for object detection and classification. • Prepared and managed data masks for deep learning applications. • Coordinated with technical teams for workflow documentation. • Implemented quality control across various project stages.

2023 - 2023

GIS Analyst – Data Labeling and Classification (Farmdar)

Classification
At Farmdar, I conducted large-scale classification and analysis of satellite datasets to create high-quality training labels. My tasks involved the identification and validation of agricultural land cover classes for AI models. I ensured accuracy and thoroughness in training data by applying rigorous QA standards. • Classified features such as crops, fields, and non-agricultural areas. • Validated and cleaned large geospatial datasets for annotation readiness. • Supported AI-driven agricultural monitoring applications. • Documented labeling best practices for team use.

At Farmdar, I conducted large-scale classification and analysis of satellite datasets to create high-quality training labels. My tasks involved the identification and validation of agricultural land cover classes for AI models. I ensured accuracy and thoroughness in training data by applying rigorous QA standards. • Classified features such as crops, fields, and non-agricultural areas. • Validated and cleaned large geospatial datasets for annotation readiness. • Supported AI-driven agricultural monitoring applications. • Documented labeling best practices for team use.

2022 - 2023

Education

H

Huazhong Agricultural University

Certificate, Drones, Internet of Things, and Artificial Intelligence for Smart Agriculture

Certificate
2025 - 2025
I

Institute of Space Technology

Master of Science, Remote Sensing and Geo-Information Sciences

Master of Science
2018 - 2021

Work History

W

West Africa Blue

Data Analyst

Remote
2024 - Present
B

Bussola.Farm

Geospatial Analyst

Remote
2024 - 2025