Summary
Arthur Mello is a Senior Data Scientist and AI engineer based in Paris with seven years of experience building production-ready AI systems for retail, e-commerce and luxury brands. He combines strong econometrics and statistics training with hands-on Python, SQL and GCP engineering to deliver practical solutions—ranging from Vertex AI search engines and text-to-SQL agents to SKU-level price elasticity and revenue-forecasting models. Arthur focuses on generative AI (LLMs, RAG, agents and prompt/chain design) but pairs it with causal inference and classic ML so features actually drive business outcomes rather than just dashboards. He has led teams and workshops, shipping POCs into product at companies like SEPHORA and Capgemini Invent and improving CRM autonomy with web apps and automation. A committed communicator, he publishes analyses and tutorials publicly to stress-test his thinking and turn messy intuition into clear, reusable mental models.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Universidade Federal Fluminense
Master's degree (M1), Statistics, Master's degree (M1), Statistics at University of Lille 1 Sciences and Technology
Master's degree (M2), Statistics and Econometrics, Master's degree (M2), Statistics and Econometrics at Toulouse School of Economics
English, Spanish, Portuguese, French