ETLpipelinehascreated apullrequestDataVaultDataWarehouseUsesJupyterPreferstensorflowto pytorchthat hasbuilt anAndroidappPowerBIOverfittingDimensionSVMhascompletedahackathonT-shirtsizeSnowflakeKafkahascompleted ahardLeetCodequestionQlikViewRandomForesthasn'tevercodedbeforePeerReviewdoesn'tuse aVPNusesGitClassificationUnsupervisedLearningReLUhas usedGitHubCopilotuses RStudiousesJavaThreeLaws ofRoboticsConstraintDataGovernanceHas askedChatGPT adata sciencequestionPrefersggplot tomatplotlibYaxisthatusesFirebasehas usedGoogleColabDataMiningPySparkRequirementsUses >4programminglanguagesXAIInsightsBayes’TheoremGANk-MeansKubernetesPrefersLinuxCleanDatais a PythonprogrammerlikesSQLFeatureEngineeringScrumWorksonAWSRegressiondoesn'tuse GitAzureusesVisualStudioCodeUses astandingdeskAlignmentETLpipelinehascreated apullrequestDataVaultDataWarehouseUsesJupyterPreferstensorflowto pytorchthat hasbuilt anAndroidappPowerBIOverfittingDimensionSVMhascompletedahackathonT-shirtsizeSnowflakeKafkahascompleted ahardLeetCodequestionQlikViewRandomForesthasn'tevercodedbeforePeerReviewdoesn'tuse aVPNusesGitClassificationUnsupervisedLearningReLUhas usedGitHubCopilotuses RStudiousesJavaThreeLaws ofRoboticsConstraintDataGovernanceHas askedChatGPT adata sciencequestionPrefersggplot tomatplotlibYaxisthatusesFirebasehas usedGoogleColabDataMiningPySparkRequirementsUses >4programminglanguagesXAIInsightsBayes’TheoremGANk-MeansKubernetesPrefersLinuxCleanDatais a PythonprogrammerlikesSQLFeatureEngineeringScrumWorksonAWSRegressiondoesn'tuse GitAzureusesVisualStudioCodeUses astandingdeskAlignment

True Data Experts: - 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. ETL pipeline
  2. has created a pull request
  3. Data Vault
  4. Data Warehouse
  5. Uses Jupyter
  6. Prefers tensorflow to pytorch
  7. that has built an Android app
  8. Power BI
  9. Overfitting
  10. Dimension
  11. SVM
  12. has completed a hackathon
  13. T-shirt size
  14. Snowflake
  15. Kafka
  16. has completed a hard LeetCode question
  17. QlikView
  18. Random Forest
  19. hasn't ever coded before
  20. Peer Review
  21. doesn't use a VPN
  22. uses Git
  23. Classification
  24. Unsupervised Learning
  25. ReLU
  26. has used GitHub Copilot
  27. uses R Studio
  28. uses Java
  29. Three Laws of Robotics
  30. Constraint
  31. Data Governance
  32. Has asked ChatGPT a data science question
  33. Prefers ggplot to matplotlib
  34. Y axis
  35. that uses Firebase
  36. has used Google Colab
  37. Data Mining
  38. PySpark
  39. Requirements
  40. Uses >4 programming languages
  41. XAI
  42. Insights
  43. Bayes’ Theorem
  44. GAN
  45. k-Means
  46. Kubernetes
  47. Prefers Linux
  48. Clean Data
  49. is a Python programmer
  50. likes SQL
  51. Feature Engineering
  52. Scrum
  53. Works on AWS
  54. Regression
  55. doesn't use Git
  56. Azure
  57. uses Visual Studio Code
  58. Uses a standing desk
  59. Alignment