Leading the core Data Science team, idealizing and architecting solutions for the company's QSRs (Quick Service Restaurants) latent demands. Furthermore, directing scientists, analysts and engineers in the development of innovative products, promoting quality and autonomy.

Acted in the food retail market, heading Data Science projects that boost results, assist in decision making and directly impact the company’s goals. Our main mission was to build explainable models and drive measurable outcomes. • Statistical testing and A/B; • Predictive and Classification models; • Recommendations models and systems; • Advanced Analytics and Mining; • Multivariate data analysis; • Multi-criteria decision making; • Optimization methods; • MLOps, MLEng and CI/CD/CT processes; • Mentoring of analysts, scientists and engineers.

Worked together with Marketing, UX and CRM teams in order to deliver the best and personalized experience to the customers. Furthermore, was actively involved in the digital transformation journey, spreading the data‑driven culture through the company.

Performed as an outsourcer in the São Paulo State’s Department of Education (SEDUC‑SP), providing Data Science and Advanced Analytics expertise for educational public sector projects in order to achieve improvements in the pedagogical system. • Build Statistical and Predictive models that generate flags for decision making; • Perform unsupervised methods that label, group features, or provide advanced analytics; • Develop solutions that impacted 3.5Mi+ students and 200k+ teachers at the beginning of the pandemic; • Build CI/CD pipelines for ML and CLI tools that smooth the way in production routines; • Drive the interaction between managers and pedagogical departments aiming to identify and define technical/analytical needs.

Developed AI-based applications and solutions for various clients around the world, as well as performing end-to-end data-driven tasks. • Build and deploy Statistical and Machine Learning models; • Make MLOps good practices available in CI/CD/CT pipelines; • Deep Learning and Computer Vision models for Feature Detection; • Put up solutions for a variety of analytical data‑based tasks.

Acted in several companies and studios, providing technical and scientific expertise for creative projects. (advertising campaigns, movies, animation, video games, etc) • Create physically-based effects and simulations; • Pipeline development and process automation; • Write graphic shaders and procedurally generated textures; • Develop digital image processing and 3D graphics algorithms.