Aman Ullah

Aman Ullah is a highly accomplished professional with over 15 years of experience in Monitoring & Evaluation across national and international organizations, complemented by over 12 years of expertise in IT and Project Management. His diverse background includes roles as a Manager, Expert, Specialist, Team Leader, and Advisor, enabling him to surpuse in both leadership and collaboration on complex projects. Moreover, his extensive experience with M&E frameworks such as Theory of Change (ToC), Result-Based M&E (RBM), and Logframe (LF), alongside the Collaboration, Learning, and Adaptation (CLA) approach, underscores his unwavering dedication to delivering meaningful outcomes. He applied Theory of Change (ToC), Result-Based M&E (RBM), and Logframe (LF) frameworks, as well as implemented the Collaboration, Learning, and Adaptation (CLA) approach within their respective contexts across multiple countries, including Bangladesh, Yemen, Oman, Ethiopia, and Djibouti. Additionally, he employed a range of tools tailored to the specific needs of each project, ensuring comprehensive data collection, analysis, and interpretation. Throughout his various roles in M&E positions, he consistently utilized an array of tools to effectively assess program impacts and facilitate informed decision-making. These tools encompassed a diverse range, including surveys, interviews, focus group discussions, and data visualization software, among others. His technical strengths include Fullstack Web Application Development (specifically M&E systems), Database Administration and Development, R/RStudio, R-Shiny, Python, Django Web Framework, Power BI, and various statistical applications (STATA, SPSS). Combined with his Project Management (PRINCE2) skills, he can effectively design, implement, and monitor projects while ensuring data-driven decision-making and reporting. In short, he brings a unique blend of technical expertise, leadership, and cross-cultural communication skills that empower organizations to achieve their goals.