Hasworkedremotelyfull-timeHas beenasked “isthis AI?”Thought aproject wouldtake aweek…it tookthree monthsThinksXGBoostis still kingKnowsBayestheorem offthe top oftheir headHasmanuallycleaned aCSV in ExcelTried toexplain whycorrelation≠ causationUses >4programminglanguagesPreferspytorch totensorflowUsesVisualStudioCodePresented amodel/dash-board, only tobe asked for anExcel exportUsesRThinks mostAI-generatedimages lookslightly offHasbrokenproductionPrefersTableau toPowerBIHas usedreinforcementlearningPrefers shippingsomethingsimple overbuildingsomethingcleverHas Googledtheir ownerrormessageword-for-wordSomeoneasked you to“just add AI”to a projectHad a modelworkperfectly…only intrainingPrefersMacOSSpeaks>4 naturallanguagesTried toexplainoverfitting toyourmanager/clientUsesPythonHas beenthe onlydata personon a teamUses ChatGPT(or Gemini/Claude) 3+times per weekBelievesfeatureengineering ismore importantthan modelselectionHas copiedcode fromStackOverflowHas aChatGPTProsubscriptionHastrained amodel ona GPUUsesJupyterStudied/studiesdatascienceHas beento a datascienceconferenceBuilt adashboardthat no oneever usedStillusespython 2Has hard-codedsomething“just for thedemo”UsesMATLABPrefersGemini toChatGPTHas vibecodedsomethingHad toexplain p-values to anon-technicalaudienceFound outthat yourdataset hasduplicate rowsafter analysisWrote an entirefunction, only todiscover there’sa library thatdoes it betterHasneverused gitTuned hyper-parametersfor hours withnoimprovementSpends moretime wranglingdata thanbuildingmodelsHastransitionedinto datafrom anotherfieldHasworkedremotelyfull-timeHas beenasked “isthis AI?”Thought aproject wouldtake aweek…it tookthree monthsThinksXGBoostis still kingKnowsBayestheorem offthe top oftheir headHasmanuallycleaned aCSV in ExcelTried toexplain whycorrelation≠ causationUses >4programminglanguagesPreferspytorch totensorflowUsesVisualStudioCodePresented amodel/dash-board, only tobe asked for anExcel exportUsesRThinks mostAI-generatedimages lookslightly offHasbrokenproductionPrefersTableau toPowerBIHas usedreinforcementlearningPrefers shippingsomethingsimple overbuildingsomethingcleverHas Googledtheir ownerrormessageword-for-wordSomeoneasked you to“just add AI”to a projectHad a modelworkperfectly…only intrainingPrefersMacOSSpeaks>4 naturallanguagesTried toexplainoverfitting toyourmanager/clientUsesPythonHas beenthe onlydata personon a teamUses ChatGPT(or Gemini/Claude) 3+times per weekBelievesfeatureengineering ismore importantthan modelselectionHas copiedcode fromStackOverflowHas aChatGPTProsubscriptionHastrained amodel ona GPUUsesJupyterStudied/studiesdatascienceHas beento a datascienceconferenceBuilt adashboardthat no oneever usedStillusespython 2Has hard-codedsomething“just for thedemo”UsesMATLABPrefersGemini toChatGPTHas vibecodedsomethingHad toexplain p-values to anon-technicalaudienceFound outthat yourdataset hasduplicate rowsafter analysisWrote an entirefunction, only todiscover there’sa library thatdoes it betterHasneverused gitTuned hyper-parametersfor hours withnoimprovementSpends moretime wranglingdata thanbuildingmodelsHastransitionedinto 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. Has worked remotely full-time
  2. Has been asked “is this AI?”
  3. Thought a project would take a week…it took three months
  4. Thinks XGBoost is still king
  5. Knows Bayes theorem off the top of their head
  6. Has manually cleaned a CSV in Excel
  7. Tried to explain why correlation ≠ causation
  8. Uses >4 programming languages
  9. Prefers pytorch to tensorflow
  10. Uses Visual Studio Code
  11. Presented a model/dash-board, only to be asked for an Excel export
  12. Uses R
  13. Thinks most AI-generated images look slightly off
  14. Has broken production
  15. Prefers Tableau to PowerBI
  16. Has used reinforcement learning
  17. Prefers shipping something simple over building something clever
  18. Has Googled their own error message word-for-word
  19. Someone asked you to “just add AI” to a project
  20. Had a model work perfectly…only in training
  21. Prefers MacOS
  22. Speaks >4 natural languages
  23. Tried to explain overfitting to your manager/client
  24. Uses Python
  25. Has been the only data person on a team
  26. Uses ChatGPT (or Gemini/ Claude) 3+ times per week
  27. Believes feature engineering is more important than model selection
  28. Has copied code from Stack Overflow
  29. Has a ChatGPT Pro subscription
  30. Has trained a model on a GPU
  31. Uses Jupyter
  32. Studied/ studies data science
  33. Has been to a data science conference
  34. Built a dashboard that no one ever used
  35. Still uses python 2
  36. Has hard-coded something “just for the demo”
  37. Uses MATLAB
  38. Prefers Gemini to ChatGPT
  39. Has vibe coded something
  40. Had to explain p-values to a non-technical audience
  41. Found out that your dataset has duplicate rows after analysis
  42. Wrote an entire function, only to discover there’s a library that does it better
  43. Has never used git
  44. Tuned hyper-parameters for hours with no improvement
  45. Spends more time wrangling data than building models
  46. Has transitioned into data from another field