Summary
Rafael Machado is a Data Scientist with eight years of experience applying machine learning and data engineering to large-scale business problems across media, retail, finance, and education. At DP6 he built multi-touch attribution and marketing mix models for clients like Globo and Raia Drogasil, developed RAG and forecasting tools (Oraculus, DPills), and created dashboards and optimization pipelines that turn model outputs into actionable budget decisions. More recently at YDUQS he prototyped LLM reranking and agentic RAG workflows, improving prompt engineering and multi-step reasoning orchestration with LangGraph. Trained as a computer scientist (Unifal) with an exchange at Hokkaido University and a postgraduate focus in AI (UTFPR), he pairs strong production engineering (GCP, BigQuery, Streamlit) with competitive data science skills evidenced by success in the Brazilian Kaggle competition. Notably, he bridges classic data pipelines and cutting-edge LLM applications, often creating synthetic datasets and modular tools to accelerate experimentation and deployment.
8 years of coding experience
8 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence, Postgraduate Degree, Artificial Intelligence at Federal University of Technology - Parana
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal de Alfenas
Exchange Program, Japanese Studies, Exchange Program, Japanese Studies at Hokkaido University
English, Spanish, Japanese, Portuguese