Olumayowa D.

Key Skills

Software

Remotasks

V7 Labs

Clickworker

CrowdSource

Data Annotation Tech

Datature

Top Subject Matter

Healthcare - Medical

Oil and Gas - Risk Analysis

Top Data Types

Video

Image

Text

Top Task Types

Text Generation

Data Collection

Transcription

Segmentation

Freelancer Overview

I am a detail-oriented professional with extensive experience in data management, analysis, and process optimization within a fast-paced FMCG manufacturing environment. In my role as a Raw Materials Planning Manager, I regularly work with large datasets in SAP, ensuring data accuracy, validating inventory records, tracking material movements, and analyzing trends to support critical business decisions. My work requires a high level of attention to detail, data quality assurance, problem-solving, and the ability to identify inconsistencies and anomalies in complex datasets. In addition to my analytical background, I have a strong interest in AI technologies and digital innovation. I am experienced in reviewing, categorizing, and interpreting information according to defined guidelines, making me well-suited for data labeling and AI training projects. My ability to follow detailed instructions, maintain consistency, meet deadlines, and deliver high-quality outputs has been demonstrated throughout my career. Combined with strong proficiency in Microsoft Excel, SAP, and data-driven decision-making, I can contribute effectively to AI training data annotation, validation, content evaluation, and quality assurance initiatives.

Labeling Experience

Supply Data Analyst

DocumentData Collection

I supported supply operations by reviewing, validating, and maintaining large datasets related to inventory, procurem⁸ent, production, and material movements. The project involved evaluating document-based datasets, identifying data inconsistencies, verifying information accuracy against source documents, and ensuring compliance with established data quality standards. I performed data cleansing, classification, and validation activities to improve reporting accuracy and support business decision-making. Through this project, I developed strong skills in data annotation, quality assurance, attention to detail, pattern recognition, and adherence to structured guidelines. My work contributed to improved data reliability, enhanced supply chain visibility, and more accurate operational reporting within a fast-paced FMCG environment.

2017 - 2021

Education

Work History