Puebla, Mexico
I'm a Machine Learning Engineer and I have worked as a data scientist as well. I have experience working with predictive models for both regression and classification in several areas: Prediction of Turn Over, Natural Language Processing for multi-classification of resumes, prediction of the amount of downloads of an app, I have also developed models for strategies related to tax revenue. One of the keys for creating powerful models is my domain of feature engineering and feature selection techniques which have allowed me to understand that data is the most important component in the process of developing a Machine Learning model. Finally, as a Machine Learning Engineer, I have used MLOps for deploying several models into production through apps and automated codes: "a model can be amazing but if you can't use it, then it is useless".
Development of a forecasting model in the category of time series.
Developing of machine learning models for prediction of taxpayer behavior, leading to take better decisions and strategies for revenue. Developing of semi automatic web scraping programs aiming to get data from taxpayers using python packeges