Hastrained amodel ona GPUHas hard-codedsomething“just for thedemo”Presented amodel/dash-board, only tobe asked for anExcel exportSpends moretime wranglingdata thanbuildingmodelsFound outthat yourdataset hasduplicate rowsafter analysisHastransitionedinto datafrom anotherfieldWrote an entirefunction, only todiscover there’sa library thatdoes it betterPrefers shippingsomethingsimple overbuildingsomethingcleverUses >4programminglanguagesUsesJupyterHasworkedremotelyfull-timeHasneverused gitSomeoneasked you to“just add AI”to a projectUsesRHas copiedcode fromStackOverflowStudied/studiesdatascienceHas vibecodedsomethingTried toexplain whycorrelation≠ causationUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionHad a modelworkperfectly…only intrainingSpeaks>4 naturallanguagesHas beento a datascienceconferenceThinks mostAI-generatedimages lookslightly offHas aChatGPTProsubscriptionPrefersTableau toPowerBIKnowsBayestheorem offthe top oftheir headUsesMATLABHas beenthe onlydata personon a teamHad toexplain p-values to anon-technicalaudienceBuilt adashboardthat no oneever usedPreferspytorch totensorflowStillusespython 2Believesfeatureengineering ismore importantthan modelselectionThinksXGBoostis still kingPrefersMacOSThought aproject wouldtake aweek…it tookthree monthsHasmanuallycleaned aCSV in ExcelHas beenasked “isthis AI?”UsesPythonTuned hyper-parametersfor hours withnoimprovementPrefersGemini toChatGPTUsesVisualStudioCodeHas usedreinforcementlearningHas Googledtheir ownerrormessageword-for-wordTried toexplainoverfitting toyourmanager/clientHastrained amodel ona GPUHas hard-codedsomething“just for thedemo”Presented amodel/dash-board, only tobe asked for anExcel exportSpends moretime wranglingdata thanbuildingmodelsFound outthat yourdataset hasduplicate rowsafter analysisHastransitionedinto datafrom anotherfieldWrote an entirefunction, only todiscover there’sa library thatdoes it betterPrefers shippingsomethingsimple overbuildingsomethingcleverUses >4programminglanguagesUsesJupyterHasworkedremotelyfull-timeHasneverused gitSomeoneasked you to“just add AI”to a projectUsesRHas copiedcode fromStackOverflowStudied/studiesdatascienceHas vibecodedsomethingTried toexplain whycorrelation≠ causationUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionHad a modelworkperfectly…only intrainingSpeaks>4 naturallanguagesHas beento a datascienceconferenceThinks mostAI-generatedimages lookslightly offHas aChatGPTProsubscriptionPrefersTableau toPowerBIKnowsBayestheorem offthe top oftheir headUsesMATLABHas beenthe onlydata personon a teamHad toexplain p-values to anon-technicalaudienceBuilt adashboardthat no oneever usedPreferspytorch totensorflowStillusespython 2Believesfeatureengineering ismore importantthan modelselectionThinksXGBoostis still kingPrefersMacOSThought aproject wouldtake aweek…it tookthree monthsHasmanuallycleaned aCSV in ExcelHas beenasked “isthis AI?”UsesPythonTuned hyper-parametersfor hours withnoimprovementPrefersGemini toChatGPTUsesVisualStudioCodeHas usedreinforcementlearningHas Googledtheir ownerrormessageword-for-wordTried toexplainoverfitting toyourmanager/client

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