Has workedwith bothWHO andUNICEFdata teamsUsesPython, R, orSQL for dataanalysisWorksdirectlywith statedata teamsHasvalidatedsettlementsin Zamfara &KanoEnjoys teambonding orsocialactivitiesHas helpeda colleaguemeet a datadeadlineHas dancedat a workretreat ordinnerJoined thePolioprogrambefore 2020Has resolvedNon-complianceduringsupervisionHas workedin more than3 NigerianstatesIs involved inthedevelopmentof the PolioData PortalHasanalyzedREDOdataOwnsmore thanone flashdriveWas partof the IEVrolloutHas auniquenicknameat workHas trainedothers ondata tools orvisualizationHasfacilitated atraining orworkshopbeforeHas built adashboardHaspresented atthe NEOCmeetingHascollaboratedwith GRID3mappingIs attendingtheir firstPolio DataRetreatDrinksmore teathancoffeeHaspresenteddata to theIncidentManager (IM)Lovestravelingto fieldlocationsHas workedwith bothWHO andUNICEFdata teamsUsesPython, R, orSQL for dataanalysisWorksdirectlywith statedata teamsHasvalidatedsettlementsin Zamfara &KanoEnjoys teambonding orsocialactivitiesHas helpeda colleaguemeet a datadeadlineHas dancedat a workretreat ordinnerJoined thePolioprogrambefore 2020Has resolvedNon-complianceduringsupervisionHas workedin more than3 NigerianstatesIs involved inthedevelopmentof the PolioData PortalHasanalyzedREDOdataOwnsmore thanone flashdriveWas partof the IEVrolloutHas auniquenicknameat workHas trainedothers ondata tools orvisualizationHasfacilitated atraining orworkshopbeforeHas built adashboardHaspresented atthe NEOCmeetingHascollaboratedwith GRID3mappingIs attendingtheir firstPolio DataRetreatDrinksmore teathancoffeeHaspresenteddata to theIncidentManager (IM)Lovestravelingto fieldlocations

Data Team Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has worked with both WHO and UNICEF data teams
  2. Uses Python, R, or SQL for data analysis
  3. Works directly with state data teams
  4. Has validated settlements in Zamfara & Kano
  5. Enjoys team bonding or social activities
  6. Has helped a colleague meet a data deadline
  7. Has danced at a work retreat or dinner
  8. Joined the Polio program before 2020
  9. Has resolved Non-compliance during supervision
  10. Has worked in more than 3 Nigerian states
  11. Is involved in the development of the Polio Data Portal
  12. Has analyzed REDO data
  13. Owns more than one flash drive
  14. Was part of the IEV rollout
  15. Has a unique nickname at work
  16. Has trained others on data tools or visualization
  17. Has facilitated a training or workshop before
  18. Has built a dashboard
  19. Has presented at the NEOC meeting
  20. Has collaborated with GRID3 mapping
  21. Is attending their first Polio Data Retreat
  22. Drinks more tea than coffee
  23. Has presented data to the Incident Manager (IM)
  24. Loves traveling to field locations