• Found and lead a startup that uses AI to extract valuable information from documents images.

• Lead a team of Data Scientists through the discovery, development and deployment of ML projects.• Define ML best practices and promote them across all Advanced Analytics teams of the holding• Work with stakeholders to align deliveries and priorities.

• Deployed a forecasting model that saved USD $300.000/yr. by reducing 40% of the planning error. • Lead a project of Computer Vision (Deep Learning/ Neural Networks) through its development, system design and deployment that saves the equivalent of 4,800 men-hours per week by automating an image recognition process.• Lead the development and implementation of a methodology to define the best geospatial clustering for the delivery frequency and vehicle planning nationwide.• Lead the development and implementation of a methodology to determine the optimal locations for new facilities, improving coverage by 10% in the intervened cities.

• Used queue simulation to define the optimum number of cash registers and self-service coffee makers, thus saving $100.000 compared with the initial planning.• Developed a store clustering model enabling the usage of custom strategies for every cluster.• Implemented a web scraper for getting the competitor prices.• Supervised the development of a model for measuring the impact of the company’s loyalty program

• Successfully sold and managed the first 10 projects of the Institute• Led an educational Data Science project• Worked as a Data Scientist in a project that had a monthly impact of USD 1M on the client’s company productivity. This was achieved by defining operational parameters with regression and clustering algorithms

Application of Data Science techniques over Principal's user profiles, with the aim of target the efforts of the direct marketing in a personalized and more effective way.

Individual work through the validation, develop and analysis of a prototype based on IT, which improved customer satisfaction of a public office by 10%. State-funded for its innovation characteristics.