Ariel Cezar Andrade

Ariel Cezar Andrade

Data Science Specialist (Fraud Prevention) @ EBANX

About Ariel Cezar Andrade

Ariel Cezar Andrade is a Data Science Specialist focused on Fraud Prevention at EBANX since 2021, with a strong background in data science and business analytics. He has previously held roles at Itaú Unibanco and iFood, specializing in developing solutions for Anti Money Laundering and enhancing business operations through advanced data science tools.

Work at EBANX

Ariel Cezar Andrade has been employed at EBANX since 2021 as a Data Science Specialist focusing on Fraud Prevention. In this role, he applies advanced data science tools to enhance business operations and improve fraud detection mechanisms. His work is aimed at generating business value and preparing the company for increased technological competitiveness.

Education and Expertise

Ariel has a diverse educational background in engineering and business. He holds a Master of Business Administration (MBA) in Business Management from Universidade de São Paulo and another MBA in Big Data (Data Science) from FIAP, both completed in 2018. He also completed a Specialization Course in Data Science at Instituto Tecnológico de Aeronáutica - ITA in 2019. His undergraduate studies include Automation and Control Engineering from Universidade Federal de Ouro Preto, completed in 2016.

Background

Ariel began his career as an Electrical Engineering Intern at Mollmann Beratende Ingenieure in Germany from 2013 to 2014. He transitioned to the data science field in 2017 and has since held various roles, including Data Science Resident at Itaú Unibanco and Data Science Specialist at iFood. His experience spans multiple aspects of data science, particularly in fraud prevention and anti-money laundering.

Achievements in Data Science

Ariel has developed solutions for Anti Money Laundering and Investment Funds, showcasing his expertise in applying data science to critical financial areas. His focus on utilizing advanced data science tools has contributed to enhancing business operations and increasing technological competitiveness within the organizations he has worked for.

Professional Experience

Ariel has accumulated significant professional experience in the field of data science. He worked at Itaú Unibanco as a Data Scientist specializing in Fraud Prevention and Anti Money Laundering from 2019 to 2020. Prior to that, he served as a Data Science Specialist in Fraud Prevention at iFood from 2020 to 2021. His roles have consistently involved leveraging data science to address complex business challenges.

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