Lead the creation of the MLOPS of a fintech project for the detection of fraud in the use of credit cards. Work in the role of data engineer integrating the entire data pipeline for the management and integration of information sources. I worked in the data science role creating doing all the feature engineering. I worked in the machine learning area creating the fraud prediction models and in the creation of the machine learning pipeline

Dondo is a leading goods and services marketplace in Colombia whose mobile app is #3 in the Google Play store. Developed, deployed, and refined a custom machine learning recommender system using collaborative filtering, factorization matrices and neural nets that led to a 26% improvement in conversion rates. Oversaw the ground-up implementation of MLOps infrastructure using Microsoft Azure’s Synapse Analytics, Machine Learning, Data Bricks, and K

Link Design is a software development firm that specializes in building secure machine learning applications for clients in the insurance, finance, and telecommunication industries. Supervised the development of an interoperable artificial intelligence system comprising of predictive models, neural networks, and intelligent agents for a collections service; its implementation ultimately improved the weekly collection rate by 200%.. Designed, prot