Telecom Churn Prediction

Course Project : Interconnect a telecom company had over 25 % customer churn over 4 months. Therefore, I was asked to identify factors contributing to churn and then build a machine learning model model that will effectively predict a customers likelihood of churning.

Gold Refinement Analysis

Course Project: The aim of this project was to leverage data from the refinement process to identify potential areas of improvement. Additionally, we aimed to create a linear regression model capable of predicting recovery outcomes.

Mega Lines Project

In this project, we conducted an analysis to compare the profitability of different plans offered to customers. The goal was to identify which plan generated higher profits and determine the key factors contributing to their profitability. By examining the differences between the plans, we aimed to

Beta Banks

In this project for Beta banks, the objective was to create a predictive model for customer churn. By analyzing historical data, we aimed to identify patterns and factors that could help predict whether a customer was likely to leave the bank soon.

OilyGiant

This Project being added soon.... *** work in progress **