Summary
Rodolpho Dos Santos is a data scientist and Bayesian statistician with over a decade applying mathematical models to boost profits and cut costs for SMEs and enterprise clients. He builds production-ready Python/Django platforms (creator of Grabatus) that turn noisy data into actionable decisions using optimization, probabilistic simulation and Bayesian methods. His experience spans logistics and healthcare forecasting, demand and credit modelling, survival analysis for receivables and automated trading algorithms—showing a rare blend of research-grade statistics and hands-on full‑stack engineering. At Axiomas he delivered simulations that informed 10-year investment choices and ~30% projected cost savings, and he has operationalized models with Celery, Postgres and cloud hosting on AWS/GCP/Heroku. Based in São Paulo, he prefers pragmatic analytics over flashy reports and focuses on deploying tools that immediately improve margins and eliminate guesswork.
10 years of coding experience
Graduação, Applied Mathematics, Transferido para o Bacharelado em Estatistica em 2014, Graduação, Applied Mathematics, Transferido para o Bacharelado em Estatistica em 2014 at Universidade de São Paulo / USP
University of São Paulo