·       Designing data strategies, data collection processes, and data analysis including predictive modeling.
·       Performing Exploratory Data Analysis (EDA) mainly involving validating the data, identifying inaccuracy in data collected, and informing the supervisors for timely corrections.
·       Providing administrative support to the program, including the processing of financial claims, inventory management, and HR documentation.

·       Designed and implemented strategies for data collection processes.
·       Analyzed the data collected and drew meaningful conclusions.  
·       Compiled data and field reports for donors including DfID, US-AID, CERF, and CSSF.

·       Conducted desk review of available documents such as agenda, and activity brief.
·       Conducted field monitoring visits focused on key questions included in the report template.
·       Triangulated data; analyzed both quantitative and qualitative data collected from the field, and wrote reports.

·       Provided a high level of coordination and organizational support to the Project Manager and Head Office.
·       Managed and led the conferences, training, and other project-related events
·       Reported to the donor and head office on a weekly and quarterly basis. 

·       Implemented M&E plans and contributed to drafts, data collection, and analysis.
·       Planned and implemented field assessments and relevant criteria including finalizing the M&E Plan.
·       Conducted ongoing M&E Check-ins to surface M&E needs & practices, and provided guidance.

·       Ensured effective and flexible coordination as well as management of the program and M&E department.
·       Provided training and support required to develop and enhance the capacity of other line departments.
·       Prepared training material, tools, and methodologies for research work and analyzed data and generated reports.

·       Imported, cleaned, transformed, validated, and modeled data to draw conclusions for decision-making purposes.
·       Designed and developed relational databases for collecting data and ensured effective data validation
Improved data quality and presented conclusions gained from analyzing data using statistical tools.

·       Validated data and assured the quality and accuracy of data.
·       Ensuring timely uploading of data on the server.
Validated community surveyor listings and facilitated household Interviewers in conducting Interviews.