Felipe is a Data Scientist with working knowledge of modern data science tools and languages to design, build and implement sophisticated data pipelines and enterprise-grade data processing, analytics and reporting applications on multiple data science projects. He maintains and enforces common conventions, standards and technologies across database structures and applications to drive scalability and increase consistency.
Worked with databases, acquiring Data, ETL/ELT, big data pipelines, and cloud services, also implementing and training teams to use SVN version control system.
Collaborate with analytics and development teams to improve data models, increasing data accessibility and fostering data-driven decision making across the organization.
Work closely with teams of software engineers, product managers, and other stakeholders.
Illuvium develops and publishes AAA play-to-earn crypto games - removing the ownership gap between gamers and games to create a community-governed collaborative game development model. Illuvium offers collectible NFT assets and in-game functionalities that are playable across multiple games with the Illuvium metaverse. Managed data analysis tasks, built new data pipelines for automated analysis, and deployed new data models to help with decision-making on the project.
Olist is an SMB commerce enabler ecosystem providing end-to-end solutions to customers - enabling them to sell online without headaches. Provided data science expertise to enhance data analytics and risk management - taking over several data initiatives with a product-oriented mindset to deliver solutions.
Worked on AI Robots, a robotic platform using artificial intelligence for optimization, predictive and prescriptive maintenance on projects. Handled the data pipeline that cleans and explores data on the platform and provided high-quality solutions to improve different projects for clients.