SVMRandomForestOverfittingDataWarehousehascompleted ahardLeetCodequestionRegressionthat hasbuilt anAndroidappKafkaQlikViewAlignmentUses >4programminglanguagesthatusesFirebasePreferstensorflowto pytorchis a PythonprogrammerFeatureEngineeringWorksonAWSETLpipelinehas usedGitHubCopilothascreated apullrequestusesVisualStudioCodePeerReviewReLUhas usedGoogleColabPowerBIuses RStudiodoesn'tuse aVPNUsesJupyterdoesn'tuse Githasn'tevercodedbeforeDataVaultPrefersLinuxScrumSnowflakeKubernetesAzureClassificationThreeLaws ofRoboticsHas askedChatGPT adata sciencequestionPySparkhascompletedahackathonDimensionUnsupervisedLearningConstraintGANCleanDatausesJavaInsightsBayes’TheoremusesGitPrefersggplot tomatplotlibDataGovernanceRequirementslikesSQLXAIk-MeansDataMiningYaxisUses astandingdeskT-shirtsizeSVMRandomForestOverfittingDataWarehousehascompleted ahardLeetCodequestionRegressionthat hasbuilt anAndroidappKafkaQlikViewAlignmentUses >4programminglanguagesthatusesFirebasePreferstensorflowto pytorchis a PythonprogrammerFeatureEngineeringWorksonAWSETLpipelinehas usedGitHubCopilothascreated apullrequestusesVisualStudioCodePeerReviewReLUhas usedGoogleColabPowerBIuses RStudiodoesn'tuse aVPNUsesJupyterdoesn'tuse Githasn'tevercodedbeforeDataVaultPrefersLinuxScrumSnowflakeKubernetesAzureClassificationThreeLaws ofRoboticsHas askedChatGPT adata sciencequestionPySparkhascompletedahackathonDimensionUnsupervisedLearningConstraintGANCleanDatausesJavaInsightsBayes’TheoremusesGitPrefersggplot tomatplotlibDataGovernanceRequirementslikesSQLXAIk-MeansDataMiningYaxisUses astandingdeskT-shirtsize

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