Adedamola T.

Key Skills

Software

Other

Top Subject Matter

Agricultural programme field data (rural agriculture monitoring)

Experimental agricultural science data (grain storage systems)

Industrial production records (block industry)

Top Data Types

Document

Text

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Corps Member – Agricultural Officer (AI/data-style dataset validation and reporting). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Excel and Other. Education includes Bachelor of Engineering, Federal University of Technology, Minna (2025). AI-training focus includes data types such as Document and labeling workflows including Data Collection and Prompt + Response Writing (SFT).

Labeling Experience

Production Manager – quality-controlled tracking and reporting of daily production data

OtherDocumentData Collection

Tracked and validated daily production data by checking for discrepancies and ensuring output records were accurate and complete. Enforced strict quality control protocols to maintain consistency across operational datasets. Prepared structured written reports and documentation with high attention to detail to support reliable recordkeeping and review. • Verified daily production records for inconsistencies • Applied quality-control checks to dataset outputs • Created structured reports from operational data • Managed scheduling and resource allocation affecting data capture reliability

2026 - Present

Self-directed AI training preparation (prompting and data workflow learning)

OtherDocumentPrompt + Response Writing (SFT)

Performed self-directed study on AI tools, prompt engineering, and data workflows to prepare for AI training and data labeling tasks. Developed understanding of how prompts and data pipelines support structured AI training or tutoring work. Applied learning interests toward future labeling/annotation-oriented capabilities. • Studied AI tools and prompt engineering concepts • Explored data workflows relevant to labeling/training • Built readiness for AI tutoring/data labeling tasks • Continued learning as an ongoing activity

2018 - Present

Corps Member – Agricultural Officer (AI/data-style dataset validation and reporting)

DocumentData Collection

Compiled, organised, and validated field monitoring datasets from rural agricultural programmes across multiple sites using Microsoft Excel. Cross-checked entries for completeness and accuracy before producing structured departmental reports for decision-making and evidence support. Tracked programme outcomes while identifying data gaps to improve downstream analysis and reporting. • Collected structured monitoring records from multiple locations • Performed quality checks by verifying field entries • Prepared structured summaries for departmental use • Maintained written accuracy in supporting briefing documents

2025 - 2026

Corps Member – Agricultural Officer, data collection and quality-controlled field reporting for agricultural programmes

OtherDocumentData Collection

Collected, organized, and validated rural agricultural field data with an emphasis on accuracy and completeness across records. Compiled structured reports and briefing documents using consistent written standards to support reliable downstream interpretation. Assessed programme data for trends, anomalies, and gaps to inform departmental decisions and improve data quality. • Validated data accuracy and completeness during collection • Produced structured written documentation for datasets • Performed anomaly and gap identification within programme records • Followed detailed procedural guidelines in a government environment

2025 - 2026

Industrial Training Intern – Nigeria Stored Products Research Institute (data collection/validation for research)

DocumentData Collection

Recorded and organised experimental grain storage research data in Excel, ensuring precision and adherence to research protocols. Cross-checked dataset entries to identify errors or inconsistencies before submission to senior researchers. Produced detailed technical reports documenting methodologies, data findings, and recommendations for the research team. • Entered and structured experimental measurements in spreadsheets • Performed error/inconsistency checks on collected data • Prepared research documentation for internal review • Followed multi-step laboratory procedures to ensure data quality

2023 - 2023

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Education

Work History