1. Collecting and organizing data on polio cases, vaccination rates, and other relevant factors.
2. Analyzing data using statistical techniques and software to identify patterns and trends.
3. Creating reports and visualizations to communicate findings to public health officials, policymakers, and other stakeholders.
4. Participating in designing the studies to assess the efficacy and safety of polio vaccines.
5. Developing statistical models to predict the future incidence of polio.
6. Analyzing data from vaccination campaigns to assess their impact on polio incidence.
7. Developing and implementing mathematical models to predict the incidence of polio under different scenarios, such as changes in vaccination rates or the emergence of new strains of the polio virus.
8. Analyzing data from surveillance systems, clinical trials, and vaccination campaigns to estimate the effectiveness of polio interventions and identify areas where additional resources may be needed.
9. Working with other members of the polio program team to develop and implement strategies for improving vaccination coverage and reducing the spread of polio.
10. Communicating modeling results to a variety of stakeholders, including program managers, policymakers, and donors

Assess the level of, and trends in, TB disease burden (incidence, prevalence, mortality) using available surveillance, survey, programmatic and other data.
Provide technical and programmatic support to IRD’s Tuberculosis program (TB)team in developing, implementing, monitoring, evaluating, and assessing the TB program Data.
Assess whether recent trends in TB disease burden indicators are plausibly related to changes in TB-specific interventions taking into account external factors including economic or demographic trends
Providing managerial support to the data staff.
Data Analysis through statistical Tools.
Identifying the highly populated areas using the GIS tools like google earth engine and QGIS.

Data visualization for polio SIAs using Power BI, Tableau and ArcGIS Pro
Data mining using Python, R and SQL.
Geospatial (Raster and Vector) Data Analysis using ArcGIS and Python Library (Arcpy)
Point Pattern analysis for the identification of team route map.
Generated digital maps for the polio campaign micro-planning.
Deep learning Model (Image Analyst tools in ArcGIS) for the count of houses of team area
Preparation of presentation to present in front of senior regarding current progress of pre-Campaign with insights and comparison of previous performance of district, UC along with CHW and Area supervisor wise
Regular updating Pre-campaign indicators of Polio Eradication initiative as per NEAP guidelines such as updating of staff trained, monitoring trainings, revision of plan, need based assessment of risk categorization.
Data analysis of AICs/AS/teams and sharing of reports with UC staff for follow up.
Preparation of presentation to present in front of senior regarding current progress of pre-Campaign with insights and comparison of previous performance of district, UC along with CHW and Area supervisor wise
Utilization of KOBO/ODK tools for data collection interpretation and visualization of received data with insights for decision making for upcoming day of intra campaign phase of Campaign.
During Post campaign preparation of Comparative analysis using Power BI, QGIS and ARCGIS and preparation for next campaign along with utilization of lesson learned in this campaign and accessing Dashboards generated on available software