Converting Usage Statistics Into Insights

reCommender is a data analysis tool that:

  1. Studies user's usage patterns.
  2. Recommends optimal plans based on the pattern.
  3. Provides an understanding about:
  • How a package is performing ?
  • How it can be improved ?

 

Converting Data Into Insights

Methodology

  1. Study usage for past 6 months.
  2. Classify usage stats into plan preferences.
  3. Add user's choice to existing database of usage patterns.
  4. Admin views detailed analysis of user data on a gross level.
  5. Design market strategies based on the usage patterns.

 

  • Checking remaining data, balance
  • Provide a customized suggestion that impacts transparency
  • Saves money directly

Improve the use case by incorporating Suvidha into existing services: 

 

  • Recharging

Tech Stack

  • Python (NumPy For GaussianNB classification)
  • MongoDB
  • Flask (RESTful API)

REST API can be extended to app or any other platform

Product Demo

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By Prabhanshu Gupta

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