Abstract: In some aspects, the techniques described herein relate to a method including: generating, by a computer program including one or more machine learning models, for an input record, a predicted amount of deposit assets, wherein the predicted amount of deposit assets is for an individual or household associated with the input record; transforming, with a mathematical transformation, the predicted amount of deposit assets to match a corresponding percentile range defined in a publicly available household asset survey or benchmark; determining a final estimate for the predicted amount of deposit assets, wherein the final estimate is determined to be in proportion with an estimated total of individual or household deposits.