Amani BIZIMUNGU

- Manage and analyze agricultural investment and production datasets to track planned versus actual farm performance indicators.
- Clean, validate, and structure large datasets using Excel, Python, and SQL to ensure data accuracy and consistency.
- Design digital data collection tools and structured survey forms using Google Forms to support field data collection.
- Monitor farmers’ investment, pr

- Conducted fuel consumption assessments across 75–120 households over a month field period
- Covered 37–60 cells, monitoring 2 households per cell over 4 consecutive days
- Completed 300–480 household monitoring sessions (2 HH × 4 days × cells)
- Ensured 100% completion of assigned observation cycles, capturing detailed daily fuel usage data
- Collected high-frequency data on kerosene, gas, and c

- Mapped 2000+ sanitation facilities using GPS-enabled tools (Survey123) across multiple sectors in Kigali
- Achieved 95%+ spatial accuracy in georeferenced data collection
- Submitted 100% of assigned mapping data on time, meeting project deadlines
- Reduced location and classification errors by 20% through field verification
- Contributed to urban sanitation datasets used for infrastructure plan

- Digitized 300–500 civil records per day (birth, marriage, death, adoption)
- Maintained 99%+ data accuracy rate while handling sensitive national identification data
- Processed 10,000+ records within project timelines
- Identified and corrected 200+ data inconsistencies, improving database quality
- Ensured full compliance (100%) with confidentiality and data protection standards

- Conducted longitudinal socio-economic surveys across 270+ households over a 15-month national survey period

- Completed approximately 1,350 household visits, ensuring each assigned household was visited 5 times in line with survey methodology

- Maintained 100% adherence to scheduled revisit timelines across 45+ survey cycles

- Collected high-quality demographic, income, expenditure, and livin

- Monitored and validated census datasets to ensure accuracy, completeness, and consistency across field submissions
- Identified and resolved data inconsistencies in real time, reducing reporting errors by ~15–20%
- Supported troubleshooting of CAPI systems (CSPro and mobile tools), helping maintain uninterrupted data collection workflows
- Collaborated with field teams to improve timely submissi

- Managed distribution records and tracking processes for daily product deliveries across multiple channels
- Maintained 95%+ reporting accuracy through verification and inventory monitoring procedures
- Identified and resolved distribution inconsistencies, improving operational coordination and reducing delays
- Generated Excel-based distribution reports to support stock tracking and field operat

- Collected household survey data from 300+ respondents using CAPI tools and structured questionnaires
- Ensured 95%+ data accuracy through real-time verification and consistency checks during interviews
- Recorded and submitted complete datasets within required timelines while maintaining confidentiality standards
- Identified and corrected inconsistencies before submission, improving overall dat

- Collected household survey data from 300+ respondents using CAPI tools and structured questionnaires
- Ensured 95%+ data accuracy through real-time verification and consistency checks during interviews
- Recorded and submitted complete datasets within required timelines while maintaining confidentiality standards
- Identified and corrected inconsistencies before submission, improving overall dat

- Supervised and coordinated a field team of 7 enumerators during WASH data collection activities
- Ensured daily assignment distribution and monitored field progress across households and water points
- Reviewed and validated submitted questionnaires to maintain high data accuracy and completeness
- Provided on-the-spot guidance and correction to improve enumerator performance and reduce errors
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- Conducted WASH assessments across 80–120 households per week, 20+ water points and 5+ public institutions using AKVO FLOW
- Collected 500+ survey responses per month on water access and sanitation practices
- Achieved 98% data completeness with minimal missing entries
- Reported 100% of non-functional water points, supporting timely interventions
- Contributed to improved service delivery for m

- Entered and validated socio-economic household data from Ubudehe profiling into structured databases, ensuring strict adherence to government data standards.
- Reviewed and corrected inconsistencies between paper records and digital entries, maintaining 99%+ data accuracy across large datasets.
- Processed high volumes of records under tight deadlines, supporting timely classification of househo

- Tracked 300+ EICV4 – panel households to be interviewed In their expected location
- Collected household survey data from 300+ respondents using CAPI tools and structured questionnaires
- Ensured 95%+ data accuracy through real-time verification and consistency checks during interviews
- Recorded and submitted complete datasets within required timelines while maintaining confidentiality standa

- Entered and organized household socio-economic data for Ubudehe level classification into structured databases, ensuring compliance with national data standards.
- Verified and cleaned records by cross-checking source documents, maintaining 99%+ accuracy across large datasets.
- Processed high volumes of entries within strict timelines, supporting timely government decision-making for social pro