Nazir S.

Key Skills

Software

Other

Top Subject Matter

Participant record data quality validation and research pipeline integrity

Geospatial field mapping

metadata labeling

Top Data Types

Text

Image

Document

Top Task Types

Mapping

Data Collection

Freelancer Overview

Data Verification & Quality Specialist | All Babies are Equal (Aug 2021 – Present). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Information Management, Ahmadu Bello University and Bachelor of Science in Data Science, Miva Open University. AI-training focus includes data types such as Text, Geospatial, and Tiled Imagery and labeling workflows including Evaluation, Rating, and Mapping.

Labeling Experience

Data Verification & Quality Specialist | All Babies are Equal (Aug 2021 – Present)

OtherText

Served as a Data Verification & Quality Specialist conducting high-volume manual audits and cross-checks of participant records to ensure complete alignment with source data. Performed spot-check validation reviews to detect anomalies, outliers, and label drift while maintaining an error-log workflow for traceability. Delivered database-integrity improvements through systematic quality-control leadership across many facilities. • Audited and verified thousands of ground-level participant records. • Conducted 40+ facility validation audits and isolated structural anomalies. • Resolved duplicates and tracked errors in maintaining QC logs. • Prevented label drift by enforcing guideline-based consistency checks.

2021 - Present

Geospatial Data Analytics Engineering | eHealth Africa (2025)

OtherData Collection

Built skip-logic architecture for digital survey entry systems to ensure labeled geospatial and structured metadata are captured correctly. Embedded strict validation skip-patterns and constraint logic to eliminate human entry errors at the point of capture. Improved overall labeling reliability by enforcing conditional data capture rules. • Implemented XLSForms-based constraint and skip-pattern logic. • Reduced capture errors through validation at entry time. • Supported consistent structured outputs for labeled datasets. • Enhanced data quality for downstream analysis and mapping tasks.

2025 - 2025

Project Lead (Field Mapping Operations) | Data Science Nigeria (DSN) (Feb 2021 – Sep 2021)

OtherMapping

Worked as a Project Lead for Field Mapping Operations, managing geospatial and metadata labeling activities across extensive local facility networks. Tagged precise geospatial points and key structural metadata alongside supporting field imagery to create usable training and reference data. Applied data-collection discipline to improve accuracy at the point of capture. • Labeled precise geospatial points and structural metadata. • Captured and associated high-fidelity field imagery with records. • Ensured metadata consistency for schema alignment. • Coordinated local operations to support downstream analytics.

2021 - 2021

Education

Work History