Bonventure Amollo

Configured and managed the DHIS2 system, ensuring seamless integration and operation across diverse programs, which reduced system downtime by 20%. Developed and maintained user-friendly dashboards and comprehensive reports, providing real-time access to critical health and nutrition data for enhanced decision-making. Conducted training for over 100 staff members, increasing system usage proficien

Collaborated with stakeholders to gather requirements and developed customized SQL scripts, improving reporting accuracy. Designed and implemented VBA and Python scripts to automate routine batch jobs, increasing operational efficiency by 20%. Created and executed SQL queries to deliver comprehensive reports, informing decision-making and supporting program outcomes.

Provided technical support for a global fisheries management project across 14+ countries, ensuring high-quality data availability. Designed and implemented Data/ETL models, optimizing data flow and reducing processing delays. Wrote Python and R scripts to collate, clean, and prepare raw data for ingestion into AWS S3, improving data quality and reducing manual errors by 15%.

Provided technical support to SHINE Partners in DHIS2 data management, including extraction, validation, analysis, and reporting, ensuring high data integrity. Collaborated on insightful visualizations to facilitate evidence-based decisions and improved program performance tracking. Conducted capacity-building initiatives, training partners to better understand and utilize DHIS2 data.

Supported the DFID-MESH project by conducting extensive data cleaning and analysis for the GAVI MTR Assessment, ensuring data quality and integrity. Utilized Stata and RStudio to write data check scripts, identifying and correcting errors, leading to a 15% improvement in data accuracy. Authored comprehensive reports, presenting findings and actionable recommendations to stakeholders.

Supported 12+ countries in implementing a DHIS2-based health information management system for the Impact Malaria program, enhancing data-driven decision-making. Configured DHIS2 systems and developed insightful dashboards providing real-time visibility into key health metrics. Automated data imports from Ministry of Health datasets, reducing manual errors and improving efficiency.

Developed R scripts to extract, transform, and load 10+ datasets into Tableau-consumable formats, increasing actionable data availability. Designed and implemented data models to transform HRH data, reducing processing time by 15% for Tableau integration. Created and deployed 5+ Tableau dashboards that drove 30+ strategic interventions in HIV program management.

Developed business intelligence solutions and dashboards to support project objectives. Collaborated on data visualization and reporting initiatives. Ensured data insights were actionable and contributed to program efficiency.

Provided expert consultation on DHIS2 implementation and data management. Ensured optimal system performance and data quality for the project. Supported the SHINE Project with specialized DHIS2 knowledge.

Advised on data systems strategies and implementation for USAID CMLAP. Led initiatives to improve data collection, analysis, and reporting processes. Provided strategic guidance for data-driven decision-making.

Led a data analytics team, focusing on data demand and information use for the USAID-H.I.G.D.A Project. Drove initiatives to leverage data for informed decision-making and program improvement. Managed data analysis workflows and team performance.

Specialized in Health Management Information Systems (HMIS) for the APHIAplus Project. Managed and optimized health data systems to support public health initiatives. Ensured data integrity and accessibility for program monitoring and evaluation.

Managed data for research projects, ensuring data quality, integrity, and accessibility for analysis. Supported research teams with efficient data handling processes. Contributed to the overall data management framework for studies.

Assisted in managing data for the Family AIDS Care & Education Services Programme. Supported data collection, entry, and preliminary analysis. Ensured accuracy and completeness of program data.

Pursued advanced studies in data science, focusing on statistical modeling, machine learning, and data visualization techniques. Developed expertise in analyzing complex datasets to extract actionable insights and support data-driven decision-making.

Completed a Bachelor of Science in Information Technology, gaining foundational knowledge in computer systems, software development, and network administration. Focused on practical applications of IT principles to solve real-world problems.

Obtained a Diploma in Computer Science, covering core concepts of programming, data structures, and computer hardware. Developed fundamental skills essential for a career in information technology.