Naomi Chepkwony

• To establish and support a robust Data Demand and Information Use (DDIU) strategy. This involves developing monthly, quarterly, semi-annual, and annual performance slides for all CHS SHINDA TENA-supported sites, providing a comprehensive overview of facility and program performance.
• Assisting in the maintenance of routine program, donor, and Ministry of Health (MOH) databases, including Fisherfolk, Key population, and DREAMS. Additionally, we prepare reports, dashboards, and other visual representations of program results using tools such as Power BI, Excel, or other suitable platforms.
• A key focus is building the capacity of Data Officers so that they can effortlessly handle various project data demands.
• Taking charge of developing and managing a program-level live dashboard, which serves as a valuable tool for conducting weekly, monthly, and quarterly progress reviews for the program and donors. Furthermore, we actively contribute to the compilation, aggregation, and generation of timely data reports on a weekly, monthly, and quarterly basis, ensuring they reach donors, the CHS program, and the MOH.
• Performing data quality audits, coordinating data cleaning through field Data Officers, and verifying data accuracy are essential steps we take before submitting any data reports. We also run Data Quality Assessments (DQAs) and conduct data checks for entries in the DREAMS, Fisherfolk, and Key population databases to ensure the data is complete and error-free.
• Meticulously preparing accurate data for entry into PEPFAR and CDC reporting information systems, such as DATIM, 3 PM, and C-RIS. Additionally, implementing solutions that facilitate real-time data collection, submission, and sharing.
• Enhancing data accuracy checks and identify inconsistencies, we write programming scripts that automate these processes and generate reports. Monthly data summaries are generated to effectively track program performance and provide valuable insights. We also design routine and ad hoc data collection tools using platforms such as ODK, Excel, Epi Info, and the DHIS2 database.
• Promptly addressing ad hoc data requests as they arise. Furthermore, we oversee the capture of registered girls' data in the DREAMS database by providing technical guidance to AGYW data entrants.
• Close collaboration with Regional teams is a priority to ensure the availability of necessary tools at all times. We diligently monitor DREAMS progress by program area and seg

Establish and support a robust Data Demand and Information Use (DDIU) strategy.
Develop monthly, quarterly, semi-annual, and annual performance slides for CHS SHINDA TENA-supported sites.
Assist in the maintenance of routine program, donor, and Ministry of Health (MOH) databases, including Fisherfolk, Key population, and DREAMS.
Prepare reports, dashboards, and other visual representations of program results using Power BI, Excel, or other suitable platforms.
Build the capacity of Data Officers to handle project data demands.
Develop and manage a program-level live dashboard for weekly, monthly, and quarterly progress reviews.
Compile, aggregate, and generate timely data reports on a weekly, monthly, and quarterly basis.
Ensure reports reach donors, the CHS program, and the MOH.
Perform data quality audits.
Coordinate data cleaning through field Data Officers.
Verify data accuracy before submitting data reports.
Run Data Quality Assessments (DQAs).
Conduct data checks for entries in the DREAMS, Fisherfolk, and Key population databases.
Prepare accurate data for entry into PEPFAR and CDC reporting information systems such as DATIM, 3 PM, and C-RIS.
Implement solutions that facilitate real-time data collection, submission, and sharing.
Write programming scripts that automate accuracy checks and report generation.
Generate monthly data summaries to track program performance.
Design routine and ad hoc data collection tools using ODK, Excel, Epi Info, and the DHIS2 database.
Address ad hoc data requests as they arise.
Oversee the capture of registered girls' data in the DREAMS database.
Provide technical guidance to AGYW data entrants.
Collaborate with Regional teams to ensure availability of necessary tools.
Monitor DREAMS progress by program area and segment in the Wards.
Analyze data and provide feedback to project staff and stakeholders.
Mentor and train AGYW data entrants in entering data into the National Database.
Organize and participate in Strategic Information (SI) capacity-building activities targeting CHS staff, health facility staff, and other stakeholders.
Respond to ad hoc requests for data collection and analysis as needed.
Work with CHS staff and stakeholders to strengthen systems for monitoring beneficiary outcomes, service quality, behavioral interventions, biomedical interventions, structural interventions, data quality assurance, and data collection, collation, analysis, and dissemination.
Develop and review indicators for monitoring and evaluating program performance.
Ensure timely and proper implementation of the Ministry of Health's (MoH) monitoring and evaluation guidelines.
Roll out new tools in all CHS-supported Wards and Safe spaces.
Participate in research studies undertaken by CHS or collaborating partners.
Participate in joint quarterly support supervision of health facilities conducted by County Health Management Teams (CHMTs) and CHS.
Provide advice to the Ministry of Health through relevant technical working groups.
Document the best monitoring and evaluation (M&E) practices and disseminate them to relevant stakeholders.

Led the development, implementation, and management of the M&E framework for programs and projects within CHS in Siaya County.
Designed M&E systems, indicators, data collection tools, and data management protocols.
Oversaw the collection, analysis, and interpretation of data to track program performance and outcomes.
Ensured data quality and accuracy by conducting regular data audits and verification exercises.
Prepared timely and comprehensive M&E reports, including progress reports, performance dashboards, and evaluation reports.
Presented findings to relevant stakeholders, including CHS management, partners, and donors.
Coordinated and supported the design and implementation of program evaluations, including baseline and end-line assessments, impact evaluations, and operational research studies.
Ensured evaluations were conducted in accordance with recognized standards and methodologies.
Provided training and capacity-building support to CHS staff and partners on M&E concepts, tools, and techniques.
Fostered a culture of data-driven decision-making within the organization.
Collaborated with program managers, technical teams, and external stakeholders to ensure M&E activities were aligned with program goals and objectives.
Coordinated with government agencies, donors, and other implementing partners for data sharing and harmonization.
Facilitated the documentation and dissemination of lessons learned, best practices, and success stories from CHS programs.
Promoted a learning culture within the organization by encouraging reflection and the use of evidence for program improvement.
Supported the utilization of M&E data for program planning, decision-making, and policy advocacy.
Provided regular feedback to program teams on findings and recommendations to enhance program effectiveness and impact.
Ensured that M&E activities complied with relevant standards, guidelines, and ethical considerations.
Developed and implemented quality assurance mechanisms to enhance the reliability and validity of M&E data.
Acted as a point person in streamlining procurement, distribution, and monitoring consumption of Ministry of Health (NASCOP) M&E tools in SHINDA-supported sites.
Coordinated Ministry of Health (NASCOP) M&E tools training for SHINDA project.
Maintained M&E tools store inventory at the regional office and central sites.
Worked closely with M&E officers to ensure continuous targeted mentorship on proper documentation of Ministry of Health (NASCOP) M&E registers in supported sites.
Supported the M&E advisor in coordinating the timely and accurate data collection, validation, and reporting to donors and for program utilization.
Supported the cascade of reporting HIV program data from facilities to the National M&E system (KHIS).
Coordinated County M&E stakeholder activities, including data review meetings and TWG, to evaluate and disseminate the performance of CHS-SHINDA supported programs.
Conducted regular site visits to ensure all elements of the data system were being utilized effectively.
Assessed and identified breakdowns and areas that required clarifications and improvements.
Reviewed and updated tools and guidelines for site mentorship assessments, including M&E tools checklists and ART retention tracking tool.
Ensured all the tools were congruent with the M&E Plans.
Reported M&E updates and activities to HIV service providers, program officers, Sub County Health Management teams and other relevant stakeholders.
Provided other M&E technical support as required.

Contributed to the development, implementation, and management of the M&E system for ICAP programs.
Designed M&E frameworks, indicators, data collection tools, and data management protocols.
Coordinated and oversaw the collection, analysis, and interpretation of program data to track progress, outcomes, and impact.
Ensured data quality and accuracy through regular data verification and validation processes.
Prepared comprehensive M&E reports, including routine progress reports, donor reports, and evaluation reports.
Presented findings to internal and external stakeholders, including program managers, partners, and donors.
Monitored and tracked program performance against established indicators and targets.
Identified trends, gaps, and areas for improvement.
Provided regular feedback to program teams.
Supported the design and implementation of program evaluations, including baseline assessments, mid-term evaluations, and end-line evaluations.
Contributed to the development of evaluation methodologies, data collection tools, and data analysis plans.
Provided training and capacity-building support to program staff and partners on M&E concepts, tools, and techniques.
Promoted a culture of evidence-based decision-making and learning within the organization.
Facilitated the utilization of M&E data for program planning, decision-making, and programmatic adjustments.
Collaborated with program teams to ensure that M&E findings and recommendations were effectively integrated into program strategies.
Collaborated with program managers, technical teams, and external stakeholders to align M&E activities with program objectives.
Coordinated with partners and other stakeholders for data sharing and harmonization.
Supported the documentation and dissemination of lessons learned, best practices, and success stories from ICAP programs.
Contributed to knowledge management efforts by capturing and sharing programmatic experiences and insights.
Ensured that M&E activities adhered to established standards, guidelines, and ethical considerations.
Developed and implemented quality assurance measures to enhance the reliability and validity of M&E data.
Handled data collection, collation, analysis, and interpretation of program data.
Mentored healthcare workers on HMIS and cohort analysis tools.
Strengthened the MOH reporting system (DHIS).
Conducted data quality assessments on monthly reports generated by facilities and the DHIS.
Facilitated data entry and validation of reports into the DATIM Database on a quarterly basis.
Gave data feedback to the ICAP program team and Sub County Health Management Teams.
Ensured correct use and utilization of EMR in the facility.

Handled data collection, entry into DHIS, analysis, aggregation, and dissemination.
Received reports for health facilities within the district and checked for data quality.
Kept and updated the data collection and reporting tools inventory for the district.
Mentored health facility staff on data management and utilization level.
Installed and mentored electronic medical records and databases (C-PAD, DHIS).
Participated in annual work plans preparation (AWP).
Facilitated Health Management Information Systems Trainings.
Supervised students on attachment.