Thought aproject wouldtake aweek…it tookthree monthsTried toexplainoverfitting toyourmanager/clientHasneverused gitThinks mostAI-generatedimages lookslightly offUsesMATLABTuned hyper-parametersfor hours withnoimprovementPrefersMacOSPreferspytorch totensorflowUsesVisualStudioCodeKnowsBayestheorem offthe top oftheir headUsesJupyterSomeoneasked you to“just add AI”to a projectUses ChatGPT(or Gemini/Claude) 3+times per weekStillusespython 2Uses >4programminglanguagesHad a modelworkperfectly…only intrainingHasbrokenproductionHas hard-codedsomething“just for thedemo”Has copiedcode fromStackOverflowThinksXGBoostis still kingHasworkedremotelyfull-timeUsesRSpends moretime wranglingdata thanbuildingmodelsTried toexplain whycorrelation≠ causationPrefersGemini toChatGPTHas beento a datascienceconferenceBelievesfeatureengineering ismore importantthan modelselectionHastransitionedinto datafrom anotherfieldHas beenasked “isthis AI?”Presented amodel/dash-board, only tobe asked for anExcel exportWrote an entirefunction, only todiscover there’sa library thatdoes it betterPrefers shippingsomethingsimple overbuildingsomethingcleverBuilt adashboardthat no oneever usedUsesPythonPrefersTableau toPowerBIStudied/studiesdatascienceHas vibecodedsomethingHas usedreinforcementlearningSpeaks>4 naturallanguagesHas Googledtheir ownerrormessageword-for-wordHad toexplain p-values to anon-technicalaudienceHas beenthe onlydata personon a teamHastrained amodel ona GPUHasmanuallycleaned aCSV in ExcelFound outthat yourdataset hasduplicate rowsafter analysisHas aChatGPTProsubscriptionThought aproject wouldtake aweek…it tookthree monthsTried toexplainoverfitting toyourmanager/clientHasneverused gitThinks mostAI-generatedimages lookslightly offUsesMATLABTuned hyper-parametersfor hours withnoimprovementPrefersMacOSPreferspytorch totensorflowUsesVisualStudioCodeKnowsBayestheorem offthe top oftheir headUsesJupyterSomeoneasked you to“just add AI”to a projectUses ChatGPT(or Gemini/Claude) 3+times per weekStillusespython 2Uses >4programminglanguagesHad a modelworkperfectly…only intrainingHasbrokenproductionHas hard-codedsomething“just for thedemo”Has copiedcode fromStackOverflowThinksXGBoostis still kingHasworkedremotelyfull-timeUsesRSpends moretime wranglingdata thanbuildingmodelsTried toexplain whycorrelation≠ causationPrefersGemini toChatGPTHas beento a datascienceconferenceBelievesfeatureengineering ismore importantthan modelselectionHastransitionedinto datafrom anotherfieldHas beenasked “isthis AI?”Presented amodel/dash-board, only tobe asked for anExcel exportWrote an entirefunction, only todiscover there’sa library thatdoes it betterPrefers shippingsomethingsimple overbuildingsomethingcleverBuilt adashboardthat no oneever usedUsesPythonPrefersTableau toPowerBIStudied/studiesdatascienceHas vibecodedsomethingHas usedreinforcementlearningSpeaks>4 naturallanguagesHas Googledtheir ownerrormessageword-for-wordHad toexplain p-values to anon-technicalaudienceHas beenthe onlydata personon a teamHastrained amodel ona GPUHasmanuallycleaned aCSV in ExcelFound outthat yourdataset hasduplicate rowsafter analysisHas aChatGPTProsubscription

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