Performed Statistical analysis of transaction data of low-to-moderate income Americans and gave corresponding financial suggestions to help 17% of users to increase monthly savings by 97% on average.

Extracted behavior features from transaction and user profile data for the next-step Machine Learning analysis.

Automated the data processing: joining data from different resources, cleaning data and finally extracting features with full documentation.