Bank of America Corporation
Dynamic transformation code prediction and generation for unavailable data element

Abstract:

Aspects of the disclosure relate to dynamic transformation code prediction and generation for an unavailable data element. In some embodiments, a computing platform may execute an extract, transform, and load process on input data received from a plurality of data sources and detect a missing data element in the received input data. Subsequently, the computing platform may generate a prediction model with respect to the missing data element, which may include executing a first, second, and third machine learning algorithm. Next, the computing platform may determine a confidence level of the prediction model. In response to determining that the confidence level is at or above the predetermined threshold, the computing platform may generate executable transformation code implementing the prediction model. Thereafter, the computing platform may monitor transformation code implementations and execute a fourth machine learning algorithm to adjust the prediction model based on the transformation code implementations.