Chinonye D.

Key Skills

Software

Other

Top Subject Matter

Operations frameworks

M&E support

donor-compliant reporting

Top Data Types

Document

Image

Text

Top Task Types

Classification

Data Collection

Object Detection

Transcription

Question Answering

Freelancer Overview

I've got a Master’s in Computer Science and over 8 years of experience building technical systems. I specialize in turning messy data into accurate, structured datasets for AI. Having managed NGN 126M+ in portfolios, I prioritize precision in classification and rating workflows. I focus on high-quality "ground truth" data, cutting out the fluff to deliver results.

Labeling Experience

Independent Consultant (Feb 2025 – Present) — technical consulting focused on data precision, categorization frameworks, and participant data interpretation

OtherDocument

Provided operational framework support for accurate categorization and donor-compliant reporting using structured documentation workflows. Led Web3 education efforts that enabled participants to interpret and categorize complex technical datasets with high consistency. Coordinated reconciliation and auditing-style quality assurance to ensure data precision across documentation and procurement datasets. • Built and managed end-to-end documentation processes tied to procurement and reporting data • Designed learning content to help participants categorize and understand technical datasets • Ensured consistent categorization through process optimization and framework design • Supported quality assurance and reconciliation practices for reporting outputs

2025 - Present

Senior Project Manager (Contract) (Oct 2025 – Jan 2026) — built data-tracking/reporting frameworks and learning pathways for accurate interpretation

OtherDocumentClassification

Designed hierarchical data-tracking and reporting systems to improve accuracy of data interpretation across remote teams. Developed structured learning pathways to standardize high-accuracy understanding and reporting practices for teams. Established a four-pillar content architecture to streamline data workflows and operational communication. • Built Operational Framework 1.0 for hierarchical data tracking and reporting • Created learning pathways for consistent interpretation and reporting • Implemented content architecture to improve data workflow execution • Supported high-accuracy reporting practices across remote teams

2025 - 2026

Programme Analyst (Dec 2021 – Jan 2025) — donor-compliant data reconciliation, auditing, and participant data validation

Document

Performed rigorous data reconciliation, auditing, and compliance checks to meet international donor standards for participant and project reporting. Verified training data for community reintegration programs supporting 80+ youth beneficiaries and ensured accurate donor-ready reporting outputs. Digitized agency workflows by training personnel for automated data visualization and analysis to maintain consistent reporting quality. • Reconciled and audited project and participant data to international donor requirements • Managed donor compliance by validating training data for beneficiary verification • Modernized financial and participant reporting to support funding and reintegration deliverables • Trained staff in Power BI to automate visualization and analysis

2021 - 2025

Team Lead and Field Coordinator (Aug 2016 – Mar 2017) — field protocol redesign and structured participant/community data collection

OtherDocumentData Collection

Redesigned field data collection protocols to maximize participant registration and improve dataset completeness. Supervised field teams conducting community intelligence gathering in high-volatility locations while maintaining zero safety incidents. Coordinated digital skills training for 200+ participants across diverse rural and urban datasets. • Implemented improved field data collection protocols for participant registration • Managed field supervision and community intelligence data gathering • Coordinated training activities that relied on structured participant datasets • Ensured data collection consistency across diverse locations

2016 - 2017

Education

Work History