Mercy Dalhatu

Public health Data Collector and Research Assistant with field experience across Malaria Consortium's SARMAAN II evaluation, UNICEF nutrition surveillance, and Save the Children community programming, having engaged over 340 households/respondents with a zero-rejection data quality record. Proficient in Kobo Toolbox, CommCare, and SmartCollect for offline data capture, GPS-tagged household tracking, and real-time submission. Fluent in English, Hausa, and Pidgin; comfortable working independently in rural and remote communities under tight deadlines.

Data Collector - Malaria Consortium Nigeria - Kaduna State

(2026-07)

SARMAAN II Evaluation

• Conducted household data collection using Kobo Toolbox for the SARMAAN II End-of-Round Evaluation, engaging 100 households
• Administered structured questionnaires under LQAS methodology, ensuring accurate GPS-tagged submissions and adherence to data quality protocols
• Applied prior training in ethical data collection and survey administration to maintain high data integrity in a public health evaluation context

Field Data Enumerator - Save the Children International - Kaduna State

(2025-11 - 2026-01)

• Conducted house-to-house enumeration and data collection via CommCare across assigned communities, engaging over 60 households with 100% on-time submission of completed records
• Collected and validated field data to support community-based project planning, flagging inconsistencies before submission to reduce downstream data cleaning
• Maintained structured survey documentation in line with reporting timelines and supervisor quality checks

Field Data Collector - UNICEF Nutrition Project - Jigawa State

(2025-08 - 2025-09)

SMART Survey

• Conducted household surveys using SmartCollect across 100+ respondents during community nutrition assessments, achieving zero rejected submissions during data quality review
• Sustained high data accuracy and completeness across all assigned households under a strict SMART methodology protocol
• Interviewed respondents in Hausa while maintaining confidentiality and building respondent trust in a sensitive nutrition-data context
• Collaborated with a multi-enumerator team to consistently meet daily field targets and reporting deadlines

Data Entry Specialist - Ajoke Ayisat Afolabi Foundation (AAAF) - Zaria, Kaduna State

(2018-11 - 2019-12)

• Entered and organized 80+ student and patient records in Microsoft Excel, maintaining high accuracy across all records
• Verified and cleaned data to improve record reliability, directly supporting reporting accuracy for foundation staff
• Streamlined digital file organization, reducing staff time spent retrieving records

B.Sc. - Biological Sciences - Kaduna State University (2020-01 - 2024-12)