I am a bilingual electronic engineer from Universidad de los Andes. My thesis was focused on fault detection in PV systems using ML and I got the highest grade, 5. I am very creative in finding solutions and I know how to combine this with my skills.
I belong to the Business intelligence area leading the company's machine learning subarea.
Major achievement- Developed a recommendation system (currently in testing phase). - Developed an inventory prediction model that has a deviation close to 5% with Azure. - Improved k-means customer segmentation model. - Improved the sales prediction model. - Working on makeup recommendation with computer vision.