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Obinna Ezeh

Obinna Ezeh

Data Support Analyst and Annotator

NIGERIA flag
Abuja, Nigeria
$17.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage

Top Label Types

Bounding Box
Segmentation
Classification
Object Detection
Transcription

Freelancer Overview

I am a data analyst with hands-on experience in cleaning, verifying, and preparing datasets for analysis, making me well-suited for data labeling and AI training data roles. My expertise includes using Excel, Power BI, SQL, and Python to ensure data accuracy and reliability, as demonstrated by my work improving data accuracy to 99% and building interactive dashboards that provide actionable insights. I have a strong background in survey analysis, KPI tracking, and data modeling, and have completed multiple end-to-end projects that involved annotating, organizing, and visualizing data to support business strategy and research. My attention to detail and ability to translate unstructured data into structured, usable formats ensure high-quality training data for AI and machine learning applications.

IntermediateEnglish

Labeling Experience

ML Data Annotator and Transcription

Don T DiscloseImageBounding BoxSegmentation
This project involved the manual annotation and labeling of urban street-level building façade images to support the development of an AI-based segmentation and shading estimation model for Building-Integrated Photovoltaic (BIPV) assessment. The objective was to create high-quality ground-truth datasets for training and validating computer vision models capable of identifying installable façade areas and analysing shading influences in dense urban environments. The role I played includes Dataset preparation and quality control, Manual pixel-level façade annotation, Annotation refinement and consistency checking, Segmentation mask validation, Error analysis and dataset balancing.

This project involved the manual annotation and labeling of urban street-level building façade images to support the development of an AI-based segmentation and shading estimation model for Building-Integrated Photovoltaic (BIPV) assessment. The objective was to create high-quality ground-truth datasets for training and validating computer vision models capable of identifying installable façade areas and analysing shading influences in dense urban environments. The role I played includes Dataset preparation and quality control, Manual pixel-level façade annotation, Annotation refinement and consistency checking, Segmentation mask validation, Error analysis and dataset balancing.

2025

Education

F

Federal University of Technology, Minna

Bachelor of Engineering, Chemical Engineering

Bachelor of Engineering
2012 - 2017

Work History

I

Independent Professional Development

Data Analyst (Portfolio Project)

Abuja
2024 - Present
D

Defence Space Administration

Data Support Analyst

Abuja
2024 - Present