Tried toexplain whycorrelation≠ causationPreferspytorch totensorflowHad toexplain p-values to anon-technicalaudienceSpeaks>4 naturallanguagesUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionBuilt adashboardthat no oneever usedHas beenasked “isthis AI?”Hasworkedremotelyfull-timeHas hard-codedsomething“just for thedemo”PrefersGemini toChatGPTKnowsBayestheorem offthe top oftheir headHas aChatGPTProsubscriptionUsesMATLABHas copiedcode fromStackOverflowThinksXGBoostis still kingHas Googledtheir ownerrormessageword-for-wordBelievesfeatureengineering ismore importantthan modelselectionHas vibecodedsomethingPresented amodel/dash-board, only tobe asked for anExcel exportSomeoneasked you to“just add AI”to a projectWrote an entirefunction, only todiscover there’sa library thatdoes it betterUsesVisualStudioCodeHas beenthe onlydata personon a teamTuned hyper-parametersfor hours withnoimprovementHastrained amodel ona GPUHas usedreinforcementlearningStillusespython 2Found outthat yourdataset hasduplicate rowsafter analysisPrefersMacOSSpends moretime wranglingdata thanbuildingmodelsHasneverused gitPrefers shippingsomethingsimple overbuildingsomethingcleverUsesRThinks mostAI-generatedimages lookslightly offHad a modelworkperfectly…only intrainingUses >4programminglanguagesStudied/studiesdatasciencePrefersTableau toPowerBIHasmanuallycleaned aCSV in ExcelUsesJupyterTried toexplainoverfitting toyourmanager/clientThought aproject wouldtake aweek…it tookthree monthsUsesPythonHas beento a datascienceconferenceHastransitionedinto datafrom anotherfieldTried toexplain whycorrelation≠ causationPreferspytorch totensorflowHad toexplain p-values to anon-technicalaudienceSpeaks>4 naturallanguagesUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionBuilt adashboardthat no oneever usedHas beenasked “isthis AI?”Hasworkedremotelyfull-timeHas hard-codedsomething“just for thedemo”PrefersGemini toChatGPTKnowsBayestheorem offthe top oftheir headHas aChatGPTProsubscriptionUsesMATLABHas copiedcode fromStackOverflowThinksXGBoostis still kingHas Googledtheir ownerrormessageword-for-wordBelievesfeatureengineering ismore importantthan modelselectionHas vibecodedsomethingPresented amodel/dash-board, only tobe asked for anExcel exportSomeoneasked you to“just add AI”to a projectWrote an entirefunction, only todiscover there’sa library thatdoes it betterUsesVisualStudioCodeHas beenthe onlydata personon a teamTuned hyper-parametersfor hours withnoimprovementHastrained amodel ona GPUHas usedreinforcementlearningStillusespython 2Found outthat yourdataset hasduplicate rowsafter analysisPrefersMacOSSpends moretime wranglingdata thanbuildingmodelsHasneverused gitPrefers shippingsomethingsimple overbuildingsomethingcleverUsesRThinks mostAI-generatedimages lookslightly offHad a modelworkperfectly…only intrainingUses >4programminglanguagesStudied/studiesdatasciencePrefersTableau toPowerBIHasmanuallycleaned aCSV in ExcelUsesJupyterTried toexplainoverfitting toyourmanager/clientThought aproject wouldtake aweek…it tookthree monthsUsesPythonHas beento a datascienceconferenceHastransitionedinto datafrom anotherfield

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