Has vibecodedsomethingHastransitionedinto datafrom anotherfieldHas aChatGPTProsubscriptionPresented amodel/dash-board, only tobe asked for anExcel exportThought aproject wouldtake aweek…it tookthree monthsSpeaks>4 naturallanguagesKnowsBayestheorem offthe top oftheir headPrefersMacOSPreferspytorch totensorflowUsesPythonHasworkedremotelyfull-timeHas usedreinforcementlearningSomeoneasked you to“just add AI”to a projectHas beento a datascienceconferenceUses ChatGPT(or Gemini/Claude) 3+times per weekHas beenthe onlydata personon a teamThinks mostAI-generatedimages lookslightly offUsesMATLABTuned hyper-parametersfor hours withnoimprovementHas copiedcode fromStackOverflowTried toexplain whycorrelation≠ causationUsesJupyterUsesVisualStudioCodeTried toexplainoverfitting toyourmanager/clientHasbrokenproductionFound outthat yourdataset hasduplicate rowsafter analysisHas beenasked “isthis AI?”Hasmanuallycleaned aCSV in ExcelSpends moretime wranglingdata thanbuildingmodelsPrefers shippingsomethingsimple overbuildingsomethingcleverHad toexplain p-values to anon-technicalaudienceStillusespython 2Uses >4programminglanguagesPrefersTableau toPowerBIHastrained amodel ona GPUBuilt adashboardthat no oneever usedStudied/studiesdatascienceHad a modelworkperfectly…only intrainingThinksXGBoostis still kingHas hard-codedsomething“just for thedemo”Hasneverused gitPrefersGemini toChatGPTBelievesfeatureengineering ismore importantthan modelselectionHas Googledtheir ownerrormessageword-for-wordWrote an entirefunction, only todiscover there’sa library thatdoes it betterUsesRHas vibecodedsomethingHastransitionedinto datafrom anotherfieldHas aChatGPTProsubscriptionPresented amodel/dash-board, only tobe asked for anExcel exportThought aproject wouldtake aweek…it tookthree monthsSpeaks>4 naturallanguagesKnowsBayestheorem offthe top oftheir headPrefersMacOSPreferspytorch totensorflowUsesPythonHasworkedremotelyfull-timeHas usedreinforcementlearningSomeoneasked you to“just add AI”to a projectHas beento a datascienceconferenceUses ChatGPT(or Gemini/Claude) 3+times per weekHas beenthe onlydata personon a teamThinks mostAI-generatedimages lookslightly offUsesMATLABTuned hyper-parametersfor hours withnoimprovementHas copiedcode fromStackOverflowTried toexplain whycorrelation≠ causationUsesJupyterUsesVisualStudioCodeTried toexplainoverfitting toyourmanager/clientHasbrokenproductionFound outthat yourdataset hasduplicate rowsafter analysisHas beenasked “isthis AI?”Hasmanuallycleaned aCSV in ExcelSpends moretime wranglingdata thanbuildingmodelsPrefers shippingsomethingsimple overbuildingsomethingcleverHad toexplain p-values to anon-technicalaudienceStillusespython 2Uses >4programminglanguagesPrefersTableau toPowerBIHastrained amodel ona GPUBuilt adashboardthat no oneever usedStudied/studiesdatascienceHad a modelworkperfectly…only intrainingThinksXGBoostis still kingHas hard-codedsomething“just for thedemo”Hasneverused gitPrefersGemini toChatGPTBelievesfeatureengineering ismore importantthan modelselectionHas Googledtheir ownerrormessageword-for-wordWrote an entirefunction, only todiscover there’sa library thatdoes it betterUsesR

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
  1. Has vibe coded something
  2. Has transitioned into data from another field
  3. Has a ChatGPT Pro subscription
  4. Presented a model/dash-board, only to be asked for an Excel export
  5. Thought a project would take a week…it took three months
  6. Speaks >4 natural languages
  7. Knows Bayes theorem off the top of their head
  8. Prefers MacOS
  9. Prefers pytorch to tensorflow
  10. Uses Python
  11. Has worked remotely full-time
  12. Has used reinforcement learning
  13. Someone asked you to “just add AI” to a project
  14. Has been to a data science conference
  15. Uses ChatGPT (or Gemini/ Claude) 3+ times per week
  16. Has been the only data person on a team
  17. Thinks most AI-generated images look slightly off
  18. Uses MATLAB
  19. Tuned hyper-parameters for hours with no improvement
  20. Has copied code from Stack Overflow
  21. Tried to explain why correlation ≠ causation
  22. Uses Jupyter
  23. Uses Visual Studio Code
  24. Tried to explain overfitting to your manager/client
  25. Has broken production
  26. Found out that your dataset has duplicate rows after analysis
  27. Has been asked “is this AI?”
  28. Has manually cleaned a CSV in Excel
  29. Spends more time wrangling data than building models
  30. Prefers shipping something simple over building something clever
  31. Had to explain p-values to a non-technical audience
  32. Still uses python 2
  33. Uses >4 programming languages
  34. Prefers Tableau to PowerBI
  35. Has trained a model on a GPU
  36. Built a dashboard that no one ever used
  37. Studied/ studies data science
  38. Had a model work perfectly…only in training
  39. Thinks XGBoost is still king
  40. Has hard-coded something “just for the demo”
  41. Has never used git
  42. Prefers Gemini to ChatGPT
  43. Believes feature engineering is more important than model selection
  44. Has Googled their own error message word-for-word
  45. Wrote an entire function, only to discover there’s a library that does it better
  46. Uses R