Diego Cardoso

I have extensive experience in data and analytics, having held various roles at Santander, including Data Scientist, Consultant, Coordinator, and Manager. I began working with vehicle financing, where I led several data projects involving customer, product, and offer analysis to increase portfolio profitability and identify cross-selling opportunities. Subsequently, I moved to the CRM B2B department, specializing in the Small and Mid-size Enterprise (SME) segment. Currently, within the CRM team, I am responsible for analytics and modeling, developing data-driven strategies to provide actionable insights for SMEs.

During my time at Vivo (Telefônica Brasil), I analyzed large datasets to identify trends and insights, developed and maintained dashboards for real-time data visualization, and conducted in-depth analysis to understand customer behavior and preferences. I developed Machine Learning models to classify customers who are more likely to purchase mobile phone products, constructed the Next Best Offer algorithm to define sales offers, and developed credit scores using telco data. Additionally, I worked through business cases and played the role of a consultant focusing on monetizing telco data by identifying and creating new revenue streams.

During my internship, I developed Machine Learning models to predict sugarcane mill output, total recoverable sugar content (TRS), and tonnes of sugarcane per hectare (TCH). I also utilized clustering techniques and descriptive statistical analysis to evaluate planting failures using unmanned aerial vehicle (UAV) images.

During my master’s program at University of São Paulo, I focused on advanced research and practical applications in the field of statistical signal processing and machine learning. I conducted in-depth research on air pollution, developing innovative solutions to estimate ground-level ozone and explain its behavior over time. My dissertation provided valuable insights into the temporal dynamics and influencing factors of ozone levels

During my time at the University of Manitoba as part of the Science Without Borders program, I embraced the opportunity to immerse myself in a new cultural and academic environment. This experience enhanced my adaptability and cross-cultural communication skills, which are invaluable in today’s globalized work environment.

During my time at the Federal University of São Carlos, I pursued a rigorous academic curriculum that provided the groundwork for my career in data and analytics. My activities and achievements included: advanced coursework, research projects and extracurricular involvement. I conducted a scientific initiation project funded by the PBIC scholarship program. This experience allowed me to deepen my understanding of statistical methods and gain valuable hands-on experience in data analysis.