Cherotwo Levi
About Candidate
Detail-oriented and results-driven Monitoring & Evaluation (M&E) Officer with over 5 years of progressive experience in designing and implementing M&E systems for development and humanitarian programs. Skilled in data collection, analysis, visualization, and reporting using tools such as Power BI, SPSS, STATA, KoboToolBox, and DHIS2. Proven ability to lead baseline and endline surveys, track performance indicators, and generate insights to support evidence-based decision-making. Adept at capacity building, stakeholder engagement, and promoting accountability and learning across project cycles. Committed to improving program outcomes through data-driven strategies and continuous improvement.
Location
Education
1. Introduction to Monitoring and Evaluation Concepts, principles, and purposes of M&E Differences and relationships between monitoring and evaluation The M&E cycle and logical framework (logframe) 2. M&E Planning and Frameworks Theory of Change and Results Frameworks Developing indicators (input, output, outcome, impact) M&E plans and Performance Monitoring Plans (PMPs) 3. Data Collection Methods Quantitative and qualitative data collection Tools and techniques (surveys, interviews, focus groups, observations) Sampling methods and ethical considerations 4. Data Management and Analysis Data cleaning, coding, and storage Statistical analysis (using Excel, SPSS, STATA) Interpretation and visualization (dashboards, charts, Power BI) 5. Evaluation Design and Methodology Types of evaluations (formative, summative, impact, process) Experimental vs. quasi-experimental designs Baseline, midline, and endline assessments 6. Reporting and Use of M&E Findings Writing M&E reports Communicating findings to stakeholders Using M&E data for decision-making and learning 7. M&E Tools and Technologies Use of software like DHIS2, ODK, KoboToolBox, and GIS Real-time monitoring and mobile data collection 8. Accountability and Learning Feedback and complaints mechanisms Adaptive management and learning agendas Capacity building for M&E systems
1. Statistics and Econometrics Descriptive and inferential statistics Regression analysis and causal inference Time series and panel data analysis Relevance to M&E: Enables data analysis, trend forecasting, and impact evaluation. 2. Research Methods Designing surveys and experiments Sampling techniques and hypothesis testing Relevance to M&E: Supports evaluation design, baseline/midline/endline studies. 3. Development Economics Poverty measurement and inequality Program evaluation and policy analysis Relevance to M&E: Provides context for interpreting development outcomes and assessing effectiveness. 4. Mathematical Economics & Optimization Modelling relationships between variables Resource allocation and cost-effectiveness analysis Relevance to M&E: Helps in designing efficiency-focused evaluations and simulations. 5. Project Planning and Management (Elective or Applied Courses) Logical framework approach Monitoring indicators and performance metrics Relevance to M&E: Offers tools for tracking project implementation and results. 6. Data Management and ICT for Economics Excel, STATA, SPSS, R for data analysis Data visualization and dashboard development
Physics, Economics, Mathematics and ICT and GP
Work & Experience
ï‚¢ Lead data utilization to guide program critical activities, support the computer system for storage, processing and data management purposes as per the organization stipulated policies and procedures and provide relevant information on the project's progress to district teams and other stakeholders. ï‚¢ Manage and oversee the implementation of M&E system at District Level, conduct monthly data verification, both at the office and in the field/ facility, by verifying 100% of data related to economic growth, home visits, and care and treatment by Ensure a minimum accuracy rate of 98%, with all verification completed by the 10th of each month. ï‚¢ Implementing monthly M&E supervision plans for Field Assistants PSW, BIA & case care workers at both facility and community levels. Ensure 100% of planned supervision visits are completed on time, with performance gaps addressed within two weeks. ï‚¢ Collaborate with health facility strategic information teams to update 100% Of audit tools (e.g., TX_CURR 0-19, HEI), Electronic Medical Records (EMR), communityfacility linkage registers, OVC case files, and HMIS 106 by the 10th of each month, ensuring all data is updated and accurate. ï‚¢ Leading data sharing and harmonization on OVC custom indicators with clinical partners before quarterly reporting. Ensure alignment of data and full resolution of any discrepancies by the 20th of the quarter. Through Developing M&E monthly work plans and reports, ensuring they are submitted to the MEL Specialist for approval by the 5th of each month. Ensure that at least 95% of activities arc completed on schedule. ï‚¢ Provide strategic supervision and mentorship to project volunteers, identifying capacity gaps and offer targeted support to optimize their contributions and project outcomes, while foster collaborative relationships and a cohesive team environment with program and operations staff, ensuring effective coordination and alignment in field activities. ï‚¢ Oversee the preparation, organization, and validation of data collection tools, ensuring timely and accurate data entry processes on a monthly basis. and the efficient and accurate entry of data into relevant databases, facilitating robust data analysis and reporting to inform Programme strategies. ï‚¢ Coordinate the systematic distribution and retrieval of data collection tools, ensuring timely submission from field structures to maintain data integrity and project timelines. while Contribute to the development of district-specific monthly and quarterly reports, supplying key performance indicators and data-driven output for comprehensive reporting. ï‚¢ Actively participate in district-level performance review and feedback sessions, delivering data insights and contributing to discussions aimed at refining project Strategies. And supporting the development, refinement, and implementation of USAID/ICARE M&E tools, ensuring alignment with project goals and rigorous tracking across all result areas.
ï‚¢ Organizing and planning for quarterly data collection and reporting ï‚¢ Organing in collaboration with biostats Quarterly district based performance review meetings ï‚¢ Monitoring and evaluation of routine reporting systems to ensure timeliness and quality data ï‚¢ Refreshers training of teams prior to routine data collection ï‚¢ Capacity building of HIA on data extraction, indicator definition and navigation of the DHIS2 and EMR data base ï‚¢ Training of staff on POC functionality and trouble shooting ï‚¢ Data cleaning, analysis and organizing performance review meeting to truck progress of selected KPIs ï‚¢ Leading data utilization and facility and district level to guide decision making ï‚¢ Participation in staff appraisal process ï‚¢ Bridging the gap between the implementing partner and the district health teams for smooth running of activities
ï‚¢ Coordination of routine HMIS data collection and cleaning (weekly, monthly and quarterly (health sub-district) ï‚¢ Ensuring early data capture in both the national and IP data bases ï‚¢ Participation in the quarterly, semiannual, and annual Datim reports ï‚¢ Routine district-based performance review meetings ï‚¢ Supporting data use at facilities through generating visuals inform of tables, graphs and charts ï‚¢ Capacity building of facility teams in data management through QI projects ï‚¢ Technical support in the implementation of Uganda EMR and POC.
