arrow_back Fast database interfacing with MySQL.jl
Julia: For tensor framework arrow_forward
Analytics for Consumer Behavior at Loylty Rewardz
Submitted by Vaibhav Pawar (@vaibhavpawar) on Wednesday, 23 September 2015
The session will cover the kind of problems we solve using analytics at Loylty Rewardz and how we have used Julia to solve some of them faster.
The talk will cover following topics -
1. About Loylty Rewardz business and our vision
2. Problems we solve using analytics to predict consumer behavior
4. How we used Julia to solve some of the problems faster (compared to SAS, SQL, R)
I head the analytics team at Loylty Rewardz Mgnt Pvt Ltd. We do advanced analytics to predict consumer behavior in order to improve consumer loyalty for our bank and merchant partners.