Paul Adole I.

Key Skills

Software

Don't disclose

Top Subject Matter

Public health monitoring & evaluation (M&E)

youth development programs

donor reporting

Top Data Types

Document

Computer Code Programming

Text

Top Task Types

Data Collection

Bounding Box

Question Answering

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Function Calling

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

Monitoring, Learning & Evaluation Specialist — Eupepsia Place – Mastercard Foundation (EYiA). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and NOMIS. Education includes Master of Science, University of Roehampton (2025) and Bachelor of Science, University of Agriculture (2016). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

Monitoring, Learning & Evaluation Specialist — Eupepsia Place – Mastercard Foundation (EYiA)

Don't discloseDocumentData Collection

Led monitoring, evaluation, and learning activities for donor-funded youth development programs with a focus on producing reliable datasets for downstream reporting and decision-making. Designed and managed electronic data collection systems to ensure data integrity, compliance, and consistency across collection processes. Conducted quantitative and qualitative analyses to generate dashboards and management reports that supported adaptive program management. • Data collection pipeline design and oversight • Data quality assurance through integrity checks • Dashboarding/report preparation for donor indicators • Training support on data utilization and gender-inclusive M&E systems

2022 - 2025

Monitoring & Evaluation Manager / Prevention Officer — CDC / CIHP (OVC Program)

DocumentData Collection

Managed M&E systems across multiple local government areas (LGAs) for CDC-funded programs, including ongoing oversight of indicator reporting workflows. Prepared quarterly narrative and indicator reports aligned with PEPFAR MER standards and performed routine data quality assurance and supportive supervision. Supervised NOMIS data environments, backups, and reporting processes to maintain dataset readiness and reporting continuity. • Quarterly indicator/narrative reporting aligned to PEPFAR MER • Routine DQA and supportive supervision • Supervision of NOMIS environments, backups, and reporting processes • Management of multi-LGA M&E systems for CDC-funded programs

2021 - 2022

Education

Work History