Diogo Ribeiro is a data scientist and mathematical engineer with a decade of analytic experience, currently training as a student pilot in Burlington, VT. He blends formal training in statistics and machine learning with hands-on BI and data science roles across agritech, ecommerce, and academic research, delivering practical pipelines, dashboards, and web scraping tools for geospatial and business data. Notably, his capstone built a versatile Python scraper to harmonize diverse agronomic file formats (.csv, .xls, .json, .kml/.kmz, .shp) to improve GIS remote-sensing accuracy in Africa. Comfortable communicating complex results to stakeholders, he has supported device analytics, financial reporting, and product-focused data science in small teams. Outside work he pursues independent data projects that experiment with visualization and applied statistics, and he welcomes collaboration with fellow data enthusiasts.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Data Science, Bachelor's degree, Data Science at Champlain College
High School Diploma, High School Diploma at Escola Americana de Campinas
Contributions:18 pushes, 1 branch in 4 years 7 months
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