Went to aBearsgame lastseasonCanspeak 3+languagesIs LefthandedWorks inSupplyChain DataScienceInterestedinConsultingWorks inhealthcaredatascienceInterestedin DataEngineeringGraduatedfromMLDS 5+years agoWorks onthe EastCoastIs acurrentnon-MLDSstudentIs acurrentMLDSstudentCan doLeetcodein theirsleepHas beento 5+countriesInterestedin DS +SocialImpactWorks infinancedatascience10+years inindustryInterestedin ProductAnalyticsWorks onthe WestCoastWants towork outsideof the USone dayMemberof Womenin DataScienceDoesdeeplearningresearchHas/ispursuinga Ph.DSwitchedto DS fromanothercareerKnows 4+programminglanguagesWent to aBearsgame lastseasonCanspeak 3+languagesIs LefthandedWorks inSupplyChain DataScienceInterestedinConsultingWorks inhealthcaredatascienceInterestedin DataEngineeringGraduatedfromMLDS 5+years agoWorks onthe EastCoastIs acurrentnon-MLDSstudentIs acurrentMLDSstudentCan doLeetcodein theirsleepHas beento 5+countriesInterestedin DS +SocialImpactWorks infinancedatascience10+years inindustryInterestedin ProductAnalyticsWorks onthe WestCoastWants towork outsideof the USone dayMemberof Womenin DataScienceDoesdeeplearningresearchHas/ispursuinga Ph.DSwitchedto DS fromanothercareerKnows 4+programminglanguages

Untitled 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. Went to a Bears game last season
  2. Can speak 3+ languages
  3. Is Left handed
  4. Works in Supply Chain Data Science
  5. Interested in Consulting
  6. Works in healthcare data science
  7. Interested in Data Engineering
  8. Graduated from MLDS 5+ years ago
  9. Works on the East Coast
  10. Is a current non-MLDS student
  11. Is a current MLDS student
  12. Can do Leetcode in their sleep
  13. Has been to 5+ countries
  14. Interested in DS + Social Impact
  15. Works in finance data science
  16. 10+ years in industry
  17. Interested in Product Analytics
  18. Works on the West Coast
  19. Wants to work outside of the US one day
  20. Member of Women in Data Science
  21. Does deep learning research
  22. Has/is pursuing a Ph.D
  23. Switched to DS from another career
  24. Knows 4+ programming languages