* Lead and develop the project with the greatest economic impact of the company in 2023, allowing a large sales increase of 3.5% in the mobile segment.* Present monthly reports to different managements on analysis and opportunities for process improvements* Create talent selection assessments for Data Scientist.

* Leadership and development in the biggest sales forecasting project of the company, mean monthly accuracy over 95%.* Improved e-commerce sales forecasting model in total company sales, from 55\% to 82\%. monthly sales accuracy.* Automation of forecasting workflows processes, to save weekly working hours.* Deploy natural language processing (NLP) model to classify thousands of retail items, accuracy over 80\% in multiple classes.* Leadership and planning of various instances of research and discovery projects.

* Scrum Master and Developer of a software project, a platform that predicts changes in phenophases of fruit trees and crops, improved planning for agricultural practices.* Developed automatic recognition of topics in written human language for NPS surveys.* Designed and developed database models for prediction system.* Development of functionalities for web platform, such as data visualization, CRUD of objects and interactive maps.

* Led a team of final year students to develop a product for the "Feria de Software USM 2020".* Built a convolutional neural network model to detect empty areas on store shelves.* Deployed a YOLO-V3 model to detect people in real time using security cameras.* Created histograms and heatmaps of the collected data to improve the positioning of products in the store.

* Deployed microservices into Kubernetes cluster and CI / CD flow for internal and external projects, in development and production environments.* Developed functionalities for the internal HR management platform, which allows to keep track of the daily work by the developers and designers.