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It actually was Wednesday 3rd October 2018, and I also was sitting regarding the back row from the General Assembly facts Sc i ence program.

It actually was Wednesday 3rd October 2018, and I also was sitting regarding the back row from the General Assembly facts Sc i ence program.

My tutor got just discussed that each and every student was required to come up with two suggestions for data technology tasks, among which I’d need give the course at the conclusion of the course. My notice moved entirely empty, an impact that becoming considering these types of free of charge rule over picking almost everything typically is wearing me personally. I invested next couple of days intensively wanting to think about a good/interesting job. We work for an Investment management, so my basic attention would be to go for something financial manager-y connected, but then i believed We spend 9+ hrs in the office everyday, thus I didn’t desire my sacred time to be started with perform relating stuff.

A couple of days after, I received the under message on a single of my people WhatsApp chats:

This sparked an idea. Can you imagine i really could make use of the facts science and machine reading techniques read in the program to improve the probability of any specific discussion on Tinder to be a ‘success’? Thus, my personal project concept got established. The next thing? Tell my girl…

A number of Tinder details, printed by Tinder themselves:

  • the software possess around 50m consumers, 10m of which use the application every day
  • since 2012, there has been over 20bn fits on Tinder
  • all in all, 1.6bn swipes take place every single day from the software
  • the common user spends 35 mins DAILY regarding application
  • around 1.5m times happen WEEKLY due to the app

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