Responsible for managing, implementing, and supervising projects focused on leveraging digital technologies for TB control. Ensures timely delivery of milestones, effective team management, and stakeholder coordination to achieve project objectives while maintaining quality and sustainability.Key ResponsibilitiesLeading the development and execution of project plans in alignment with donor guidelines.Overseeing the deployment and refinement of digital health tools like DHIS2 for TB surveillance and reporting.Ensuring data accuracy, quality, and analysis to support informed decision-making.Providing strategic guidance and capacity-building support to project teams.Acting as a liaison with donors, government bodies, and partners to ensure collaboration and sustainability.Monitoring field activities, evaluating progress, and delivering comprehensive project reports.Utilizing data visualization and advanced analysis tools to support informed decision-making and critical problem-solving, enhancing the data analysis process in collaboration with the Provincial Government and Mercy Corps.Building capacity within teams through real-time data entry and system training, ensuring smooth and accurate data handling.Providing IT training to staff, focusing on strengthening their technical skills and understanding of digital health systems.Developing and maintaining knowledge bases to enhance project decision-making and support ongoing learning within the team.

Experienced in data analysis across various datasets, I specialize in creating impactful dashboards and comprehensive Excel reports. My commitment to delivering high-quality, data-driven solutions underscores my freelance work. Dedicated to providing valuable insights, I contribute to the success of diverse projects.

Responsible for managing, implementing, and supervising projects focused on leveraging digital technologies for TB control. Ensures timely delivery of milestones, effective team management, and stakeholder coordination to achieve project objectives while maintaining quality and sustainability.
Key Responsibilities:
Leading the development and execution of project plans in alignment with donor guidelines.
Overseeing the deployment and refinement of digital health tools like DHIS2 for TB surveillance and reporting.
Ensuring data accuracy, quality, and analysis to support informed decision-making.
Providing strategic guidance and capacity-building support to project teams.
Acting as a liaison with donors, government bodies, and partners to ensure collaboration and sustainability.
Monitoring field activities, evaluating progress, and delivering comprehensive project reports.
Utilizing data visualization and advanced analysis tools to support informed decision-making and critical problem-solving, enhancing the data analysis process in collaboration with the Provincial Government and Mercy Corps.
Building capacity within teams through real-time data entry and system training, ensuring smooth and accurate data handling.
Providing IT training to staff, focusing on strengthening their technical skills and understanding of digital health systems.
Developing and maintaining knowledge bases to enhance project decision-making and support ongoing learning within the team.

As a District Coordinator, my responsibilities included spearheading data analysis and report generation. Managing the Provincial Office (Data Support Center) with a team of 100 employees, I effectively utilized the Missed Children Tracking Database (MCTB). My proficiency in data analysis allowed me to produce comprehensive reports shared with the UNICEF focal person, aiding in decision-making processes. Pre-campaign micro-planning, task delegation to Data Entry Operators (DEOs) through Team Leads, and rigorous monitoring of data entry processes were integral aspects of my role. I maintained seamless communication with Team Leads and field staff, ensuring timely data receipt. Additionally, I played a crucial role in communicating regular updates and reports to senior management, adhering to UNICEF's reporting requirements.

Follow up with UC staff for submission of data for reports. Monitor and follow-up with UC staff on regular data upload on polio infodatabase.UC level data collection and compilation on key indicators to generate pre, intra and post campaign report. Ensure timely submission of periodic reports including 30 HH cluster survey /detail epidemiological investigation form for urgent AFP and polio cases.Analyse data of dashboard indicators with UC wise feedback to the UCO and SMs
Maintain close liaison with DPCR data operator for two way data flow. Generate and share extended catchup coverage report from DSC dataset with the concerned DPCR. Collate and relay CCPV dataset as per DSC SOP To work as focal person for DSC correspondence and follow-up with field staff. Collection of data for campaign planning from UC level for onward submission. Maintain the data of social characteristics of polio cases of the respective district. Spot check missed children logbook and child registration logbook of the assigned district

As a Data Management Intern at BUITEMS from March 2015 to April 2016, I enhanced data quality through validation procedures, optimized database structures, and established standardized documentation. Active collaboration on data projects, training sessions, and process automation contributed to efficiency. I ensured data privacy compliance and facilitated timely reporting, showcasing a proactive approach to data management.

During my three-year tenure as a Database Developer and Data Analyst at ZB Textile, my primary focus was conducting thorough data analysis. I utilized statistical techniques to uncover valuable insights and identify trends within large datasets, providing actionable recommendations for business improvement. Additionally, I played a key role in developing and maintaining processes for the seamless flow of data, contributing to the accuracy and relevance of data for analysis. The creation of interactive dashboards and reports facilitated effective communication of key performance indicators and trends to stakeholders, fostering a data-driven decision-making culture within the organization. This emphasis on data analysis significantly contributed to improved operational efficiency and empowered decision-makers with timely and insightful information for strategic planning and execution