UsesVisualStudioCodePresented amodel/dash-board, only tobe asked for anExcel exportHasworkedremotelyfull-timePrefersTableau toPowerBIBuilt adashboardthat no oneever usedSpeaks>4 naturallanguagesHasmanuallycleaned aCSV in ExcelUses >4programminglanguagesHastransitionedinto datafrom anotherfieldHas usedreinforcementlearningPrefersMacOSHas aChatGPTProsubscriptionHas hard-codedsomething“just for thedemo”Hasneverused gitHas vibecodedsomethingSpends moretime wranglingdata thanbuildingmodelsSomeoneasked you to“just add AI”to a projectUses ChatGPT(or Gemini/Claude) 3+times per weekThinks mostAI-generatedimages lookslightly offPrefersGemini toChatGPTUsesRKnowsBayestheorem offthe top oftheir headStudied/studiesdatascienceTried toexplain whycorrelation≠ causationHad a modelworkperfectly…only intrainingStillusespython 2Hastrained amodel ona GPUHas beenasked “isthis AI?”Preferspytorch totensorflowPrefers shippingsomethingsimple overbuildingsomethingcleverUsesPythonTuned hyper-parametersfor hours withnoimprovementTried toexplainoverfitting toyourmanager/clientHas copiedcode fromStackOverflowBelievesfeatureengineering ismore importantthan modelselectionUsesJupyterHas beento a datascienceconferenceThinksXGBoostis still kingThought aproject wouldtake aweek…it tookthree monthsWrote an entirefunction, only todiscover there’sa library thatdoes it betterFound outthat yourdataset hasduplicate rowsafter analysisHad toexplain p-values to anon-technicalaudienceHas Googledtheir ownerrormessageword-for-wordUsesMATLABHas beenthe onlydata personon a teamHasbrokenproductionUsesVisualStudioCodePresented amodel/dash-board, only tobe asked for anExcel exportHasworkedremotelyfull-timePrefersTableau toPowerBIBuilt adashboardthat no oneever usedSpeaks>4 naturallanguagesHasmanuallycleaned aCSV in ExcelUses >4programminglanguagesHastransitionedinto datafrom anotherfieldHas usedreinforcementlearningPrefersMacOSHas aChatGPTProsubscriptionHas hard-codedsomething“just for thedemo”Hasneverused gitHas vibecodedsomethingSpends moretime wranglingdata thanbuildingmodelsSomeoneasked you to“just add AI”to a projectUses ChatGPT(or Gemini/Claude) 3+times per weekThinks mostAI-generatedimages lookslightly offPrefersGemini toChatGPTUsesRKnowsBayestheorem offthe top oftheir headStudied/studiesdatascienceTried toexplain whycorrelation≠ causationHad a modelworkperfectly…only intrainingStillusespython 2Hastrained amodel ona GPUHas beenasked “isthis AI?”Preferspytorch totensorflowPrefers shippingsomethingsimple overbuildingsomethingcleverUsesPythonTuned hyper-parametersfor hours withnoimprovementTried toexplainoverfitting toyourmanager/clientHas copiedcode fromStackOverflowBelievesfeatureengineering ismore importantthan modelselectionUsesJupyterHas beento a datascienceconferenceThinksXGBoostis still kingThought aproject wouldtake aweek…it tookthree monthsWrote an entirefunction, only todiscover there’sa library thatdoes it betterFound outthat yourdataset hasduplicate rowsafter analysisHad toexplain p-values to anon-technicalaudienceHas Googledtheir ownerrormessageword-for-wordUsesMATLABHas beenthe onlydata personon a teamHasbrokenproduction

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