Summary
Wesley Watanabe is a Data Analyst with a decade of experience specializing in fraud detection, compliance, and analytics, proficient in Python, SQL, GCP (BigQuery, Vertex AI) and AWS. He has a proven track record at Grupo Boticário of cutting due diligence time in half with an AI agent, building PIX and credit-card fraud models that reduced false positives, and delivering demand-forecasting models that saved roughly R$100K in operations. Comfortable in large-scale environments, Wesley designs end-to-end ML pipelines, automations and RPA solutions that translate complex datasets into operational efficiency and strategic insights. He blends hands-on engineering (ETL, cloud infra, APIs) with BI storytelling using Tableau, QlikSense and Data Studio to drive decision-making. Alongside postgraduate studies in Data Science and AI, he contributes technical writing on Medium and brings uncommon cross-domain experience from finance and capital planning at Caterpillar to strengthen data-driven risk controls.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, System information, Bachelor's degree, System information at Universidade Positivo
Bootcamp, Data Analyst, Tecnologia da Informação, Bootcamp, Data Analyst, Tecnologia da Informação at IGTI
Graduate Studies, Artificial Intelligence & Machine Learning, Graduate Studies, Artificial Intelligence & Machine Learning at PUC Minas
Postgraduate Degree, Data science and Artificial intelligence, Postgraduate Degree, Data science and Artificial intelligence at Centro Universitário Internacional UNINTER
Portuguese, English