Niamatullah Habibi

- Led data management initiatives for the WASH program across 10 provinces, leveraging tools like Power BI and Tableau to reduce reporting times by 40% and improve decision-making. - Collaborated with stakeholders to optimize workflows, improving data accuracy and compliance with global standards. - Automated data pipelines using Airflow, improving data efficiency and mapping resource distribution for 100+ locations.

- Designed and implemented the ERP-based Enterprise HRMIS, digitizing HR services for 25+ ministries, serving 10,000+ users, and reducing manual processing time by 70%. Streamlined HR workflows, improving operational accuracy by 80%, and aligning processes with civil servant roles and regulations. - Integrated the HRMIS payroll module with the Ministry of Finance payroll hub, digitizing government payroll systems to ensure transparent budget allocation and enabling salary processing across 34 provinces.

- Developed the Local Governance Management Information System (LGMIS), reducing administrative processing times by 75% and enhancing transparency across 34 provinces. - Collaborated with IDLG and other stakeholders to adopt the system, leading to a 40% improvement in service delivery efficiency. - Conducted business needs analyses and system requirement assessments, ensuring alignment with organizational goals.

- Managed and analyzed the cash transfer program’s data targeting impoverished families with young children, providing four transfers over two years to ease financial strain during critical periods. - Managed data targeting and reporting for a cash transfer program benefiting 500,000+ families, improving accuracy by 40% through advanced SQL techniques. - Collaborated with NGOs and government agencies to ensure seamless data integration and program execution.

Led the design and implementation of the MEMIS system, improving monitoring and evaluation for workforce development programs. Streamlined data collection workflows, enhancing reporting accuracy and reducing delays in BI reporting.

Enhanced project efficiency through data entry form development, cleaning, and progress report sharing, accelerated decision-making with advanced analytics, and reduced data processing time via optimized data models.