Has Googledtheir ownerrormessageword-for-wordHasneverused gitHasmanuallycleaned aCSV in ExcelUsesVisualStudioCodeUsesRStudied/studiesdatascienceHas beento a datascienceconferencePrefersGemini toChatGPTUsesMATLABSpends moretime wranglingdata thanbuildingmodelsHas usedreinforcementlearningHas beenasked “isthis AI?”Believesfeatureengineering ismore importantthan modelselectionTried toexplain whycorrelation≠ causationHas vibecodedsomethingKnowsBayestheorem offthe top oftheir headUsesPythonFound outthat yourdataset hasduplicate rowsafter analysisHas hard-codedsomething“just for thedemo”Hastrained amodel ona GPUThinks mostAI-generatedimages lookslightly offSpeaks>4 naturallanguagesHasbrokenproductionPreferspytorch totensorflowUses >4programminglanguagesSomeoneasked you to“just add AI”to a projectHad a modelworkperfectly…only intrainingHad toexplain p-values to anon-technicalaudienceWrote an entirefunction, only todiscover there’sa library thatdoes it betterStillusespython 2Uses ChatGPT(or Gemini/Claude) 3+times per weekHasworkedremotelyfull-timeUsesJupyterPresented amodel/dash-board, only tobe asked for anExcel exportHas beenthe onlydata personon a teamPrefersMacOSThinksXGBoostis still kingThought aproject wouldtake aweek…it tookthree monthsTried toexplainoverfitting toyourmanager/clientPrefersTableau toPowerBIHas aChatGPTProsubscriptionPrefers shippingsomethingsimple overbuildingsomethingcleverTuned hyper-parametersfor hours withnoimprovementHastransitionedinto datafrom anotherfieldHas copiedcode fromStackOverflowBuilt adashboardthat no oneever usedHas Googledtheir ownerrormessageword-for-wordHasneverused gitHasmanuallycleaned aCSV in ExcelUsesVisualStudioCodeUsesRStudied/studiesdatascienceHas beento a datascienceconferencePrefersGemini toChatGPTUsesMATLABSpends moretime wranglingdata thanbuildingmodelsHas usedreinforcementlearningHas beenasked “isthis AI?”Believesfeatureengineering ismore importantthan modelselectionTried toexplain whycorrelation≠ causationHas vibecodedsomethingKnowsBayestheorem offthe top oftheir headUsesPythonFound outthat yourdataset hasduplicate rowsafter analysisHas hard-codedsomething“just for thedemo”Hastrained amodel ona GPUThinks mostAI-generatedimages lookslightly offSpeaks>4 naturallanguagesHasbrokenproductionPreferspytorch totensorflowUses >4programminglanguagesSomeoneasked you to“just add AI”to a projectHad a modelworkperfectly…only intrainingHad toexplain p-values to anon-technicalaudienceWrote an entirefunction, only todiscover there’sa library thatdoes it betterStillusespython 2Uses ChatGPT(or Gemini/Claude) 3+times per weekHasworkedremotelyfull-timeUsesJupyterPresented amodel/dash-board, only tobe asked for anExcel exportHas beenthe onlydata personon a teamPrefersMacOSThinksXGBoostis still kingThought aproject wouldtake aweek…it tookthree monthsTried toexplainoverfitting toyourmanager/clientPrefersTableau toPowerBIHas aChatGPTProsubscriptionPrefers shippingsomethingsimple overbuildingsomethingcleverTuned hyper-parametersfor hours withnoimprovementHastransitionedinto datafrom anotherfieldHas copiedcode fromStackOverflowBuilt adashboardthat no oneever used

Data Science 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 Googled their own error message word-for-word
  2. Has never used git
  3. Has manually cleaned a CSV in Excel
  4. Uses Visual Studio Code
  5. Uses R
  6. Studied/ studies data science
  7. Has been to a data science conference
  8. Prefers Gemini to ChatGPT
  9. Uses MATLAB
  10. Spends more time wrangling data than building models
  11. Has used reinforcement learning
  12. Has been asked “is this AI?”
  13. Believes feature engineering is more important than model selection
  14. Tried to explain why correlation ≠ causation
  15. Has vibe coded something
  16. Knows Bayes theorem off the top of their head
  17. Uses Python
  18. Found out that your dataset has duplicate rows after analysis
  19. Has hard-coded something “just for the demo”
  20. Has trained a model on a GPU
  21. Thinks most AI-generated images look slightly off
  22. Speaks >4 natural languages
  23. Has broken production
  24. Prefers pytorch to tensorflow
  25. Uses >4 programming languages
  26. Someone asked you to “just add AI” to a project
  27. Had a model work perfectly…only in training
  28. Had to explain p-values to a non-technical audience
  29. Wrote an entire function, only to discover there’s a library that does it better
  30. Still uses python 2
  31. Uses ChatGPT (or Gemini/ Claude) 3+ times per week
  32. Has worked remotely full-time
  33. Uses Jupyter
  34. Presented a model/dash-board, only to be asked for an Excel export
  35. Has been the only data person on a team
  36. Prefers MacOS
  37. Thinks XGBoost is still king
  38. Thought a project would take a week…it took three months
  39. Tried to explain overfitting to your manager/client
  40. Prefers Tableau to PowerBI
  41. Has a ChatGPT Pro subscription
  42. Prefers shipping something simple over building something clever
  43. Tuned hyper-parameters for hours with no improvement
  44. Has transitioned into data from another field
  45. Has copied code from Stack Overflow
  46. Built a dashboard that no one ever used