• Built and deployed a machine learning model that estimates costumer profitability over the next semester. Potentially reduces losses for up to 60% in six months.• Determined a limit quota for each client that actively use international wire transfers with the purpose of limit the bank scrutiny required in the anti money laundering regulation (SARLAFT in Colombia).• Actively participated in the creation of a recommendation engine that consolidate all possible products for each client and then rule the best next action for the client. This project contributed in the 131% growht YoY in the first two months of 2022 consumer loans.• Sucessfully implemented a cluster segmentation for ~10 million users in DaviPlata, Davivienda's native digital bank. With this profiling, the business acquired key insights in how to strengthen the relationship with customers.• Collaborated in reducing the execution time of the monthly promotions engine by 40% via migration to Cloudera and implementation of Pyspark in critical processes within.