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Telecom Company Data Analysis and User Clustering

Given an anonymized SQL Dump data from a telecom company over the years. Task here is to analyze and decide whether an investor should buy the company or not at the end.

Data

The given data is an SQL dump file. It is about 180k rows of data.


Steps followed

  1. Load the sql dump file into postgres
  2. Write a script to read the database and make a dataframe
  3. Do basic EDA
  4. Clean data (remove duplicates, null values and normalize the distribution)
  5. Perform k-means clustering of the users by several metrics
  6. Report results and recommendations

Top 10 Handsets in the database

Huawei B528S-23A
Apple iPhone 6S
Apple iPhone 6
Unknown
Apple iPhone 7
Apple iPhone Se
Apple iPhone 8
Apple iPhone Xr
Samsung Galaxy S8
Apple iPhone X

Most used device is a portable 4G router


Top 3 Manufacturers

  1. Apple
  2. Samsung
  3. Huawei

Total Users

The company has a total of 107,000 users

Most used services

  1. Gaming
  2. Netflix
  3. Youtube

Cluster of users based on download speed

Screenshot from 2024-03-20 17-04-36

Cluster based on ping and download volume

Screenshot from 2024-03-20 17-09-05

Cluster based on ping and throughput

Screenshot from 2024-03-20 17-09-05

Recommendations for the investor


For a company with a loyal user base, the firm seems to be capable of retaining its users at its current state. Since most users are gamers and they are young, they might find it easy if they see a minor issue in the QoS so you need to be careful. Proceed with care, gamers can destroy your reputation.

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