Abstract: A process implemented as software for building, developing, and enhancing a model for use in forecasting, having a first user input step, wherein a user to input data using a user interface on a user device and providing the user input data to an application program interface (API); the API performs an auto data validation step, a feature creation step comprising using domain knowledge to extract features from raw training data; a feature encoding step comprising using the created features and raw training data to train different candidate models; a model selection step wherein the user is prompted to select a best model from the number of trained candidate models based on user defined model rankings; a best model review step comprising producing detailed information on the best model through statistical diagnostics, sensitivity, back-test and performance analysis; and generating implementation code for the best model; processing a set of data to be analyzed using the best model, forecasting an outcome based