Data-Science-and-Analytics-Virtual-Internship-BCG-Forage- and BCG-Data-Science-Analytics-Virtual-Experience-Program
These are complements—both are independent solution repositories for the same BCG virtual internship program that students would work through sequentially or reference alongside each other for different approaches to the same tasks.
About Data-Science-and-Analytics-Virtual-Internship-BCG-Forage-
Ajit49/Data-Science-and-Analytics-Virtual-Internship-BCG-Forage-
This repository contains solutions to the 4 different tasks that must be performed during the Data Science & Advanced Analytics virtual internship provided by BCG via Forage.
This project provides a complete workflow for utility companies experiencing customer churn, especially among Small & Medium Enterprise (SME) clients. It takes historical customer usage and pricing data, along with churn indicators, to build a model that predicts which customers are likely to churn due to price sensitivity. The output is a list of at-risk customers, helping the SME division decide who to offer a discount to.
About BCG-Data-Science-Analytics-Virtual-Experience-Program
emmanguyen0602/BCG-Data-Science-Analytics-Virtual-Experience-Program
Amazing virtual internship from BCG and The Forage.
This project helps utility companies understand why some customers switch to competitors, especially in competitive markets. It takes historical customer usage, pricing, and churn data to identify key factors, particularly price sensitivity, that predict which small to medium-sized businesses are likely to leave. The output is a predictive model and insights that can inform strategies to retain at-risk customers, used by strategists or business analysts at an energy provider.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work