The Challenge In 2019, an Italian mobile operator expressed its concern about the high churn rate caused by an aggressive pricing strategy of a new entrant MNO in the market. The operator needed to predicting its customer churn for the coming quarters. As a part of Machine Learning offering, I was in charge of building a predictive model which could have helped the operator to predict subscribers churn rate. The Project This model provided a machine learning model along with custom Python scripts for solving the churn rate prediction for the operator. The model focused on binary churn rate prediction, to categories the subscribers as churners or non-churners. The overall template was divided into 4 major experiments with each containing one of the following steps:… Read More »Mobile Churn Rate
This is a detailed map of the Covid-19 spread across the US, using Power BI visualisation tool.The map is self-explanatory and the end-users can select various metrics related to the disease, using the slicers.