Experience

Flaviane Peccin is a leading data scientist with more than a decade of international experience applying predictive modeling and machine learning in various industries. Throughout her career, she has led innovative projects in the field of Artificial Intelligence, data analytics and data-driven business decision making, consolidating herself as an influential figure in the digital transformation of large corporations.

In this regard, she has held roles of great importance at Visa, as Director of Artificial Intelligence and Machine Learning, where she has been responsible for defining and executing the company's global data science strategy, with a particular focus on Machine Learning as a service. In addition, her leadership has ranged from collaboration with commercial and scientific stakeholders, to the implementation of advanced algorithms and scalable technology solutions, which have driven efficiency and accuracy in decision making. As such, her experience in integrating emerging trends in Artificial Intelligence and Gen AI has positioned her at the forefront of her field.

She has also worked as Director of Data Science in this same organization, leading a team of experts that has provided analytical consulting to clients in Latin America, developing predictive models that have optimized the cardholder lifecycle and significantly improved the management of credit and debit portfolios. Her career has also included key positions at Souza Cruz, HSBC, GVT and Telefónica, where she has contributed to the development of innovative solutions for risk management, analytical models and fraud control.

Therefore, with extensive experience in Latin American and US markets, Flaviane Peccin has been instrumental in the adaptation of products and services, using advanced statistical techniques and deep data analysis.

  • Director of Artificial Intelligence and Machine Learning at Visa, Miami, United States
  • Director of Data Science at Visa
  • Customer Analytics Manager at Visa
  • Coordinator/Data Science Specialist at Souza Cruz
  • Quantitative Modeling Analyst at HSBC
  • Credit and Collections Analyst at GVT
  • Statistical Analyst at Telefónica
  • Master's Degree in Numerical Methods in Engineering from Universidade Federal do Paraná
  • Bachelor's Degree in Statistics from Universidade Federal do Paraná
Programmes in collaboration with

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