Summary
Luan Rodrigues is a data scientist specializing in fraud prevention for online payments, with seven years of experience applying Python, SQL and machine learning to reduce chargebacks and rejection rates. At Bemobi he progressed from intern to data scientist, building risk-mapping workflows, Airflow DAGs and actionable rules from microservice data while improving monitoring and KPIs across operations. Based in Rio de Janeiro and currently pursuing a master's in Intelligent Systems, he combines hands-on engineering (pandas, numpy, visualization) with strong communication and a collaborative, mentorship-oriented approach. Notably, his background in laboratory automation (Arduino, LabVIEW) gives him practical systems thinking that helps bridge experimental rigour and production fraud engineering.
7 years of coding experience
Pós-graduação Stricto Sensu - Mestrado Acadêmico, Sistemas Inteligentes, Pós-graduação Stricto Sensu - Mestrado Acadêmico, Sistemas Inteligentes at Universidade do Estado do Rio de Janeiro