Emmanuel V.

Key Skills

Software

Micro1

Top Subject Matter

Nutrition / Food Security / WASH (humanitarian aid)

Public health / Nutrition support (Ministry of Health)

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Transcription

Cuboid

Object Detection

Red Teaming

Freelancer Overview

Field Assistant – Nutrition / Food Security / WASH, Save the Children (EYN Projects partnership). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include KoboCollect, ODK, and N. Education includes Maiduguri, Borno State, EYN Projects) (2024). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

Field Assistant – Nutrition / Food Security / WASH, Save the Children (EYN Projects partnership)

DocumentData Collection

Performed digital beneficiary registration and verification for donor-funded humanitarian programs, ensuring data consistency and compliance with program guidelines. Conducted routine data collection, cleaning, and reporting, including post-distribution monitoring (PDM) and real-time data analysis to support accurate deliverables. Supported quality assurance activities through verification and validation of field entries and follow-up data. • Managed data integrity through routine cleaning and reporting • Performed beneficiary registration and verification via digital tools • Conducted PDM and real-time monitoring/analysis for accountability • Followed complex program guidelines for accurate field-level data

2020 - 2024

Field Assistant / Nutrition Support Staff, Borno State Ministry of Health

DocumentData Collection

Facilitated community-based participant registration and follow-up data collection, ensuring accurate entry into MEAL systems without errors. Performed ongoing verification to maintain correctness of participant and follow-up records for program monitoring. Supported the broader data management workflow to keep field data aligned with monitoring and evaluation requirements. • Ensured accurate participant registration and follow-up data capture • Entered field data into MEAL systems with zero-error focus • Supported monitoring and evaluation data integrity processes • Followed community-based data collection procedures

2017 - 2020

Education

Work History