Language: SQL (Oracle SQL)
Introduction: The purpose of this project is to use SQL to transform multiple datasets relating to customer phone calls over a four month period, to engineer new features, and to combine the datasets into a suitable case table in order to use Machine Learning techniques to predict the likelihood of a customer churning in any given month.
Data Files: The datasets include calls.csv, call_rates.csv, voicemails.csv, customer_service.csv, customers.csv, rate_types.csv, contract_plans. The SQL files are SQLBuild.sql, SQLQueries.sql, and SQLML.sql.