Daniel Wielewski Do Carmo

Daniel Wielewski Do Carmo

Fraud Prevention Analyst Pl @ EBANX

About Daniel Wielewski Do Carmo

Daniel Wielewski Do Carmo is a Fraud Prevention Analyst PL with extensive experience in analytics, particularly in performance and fraud prevention. He has worked for various companies, including Juno and EBANX, and holds degrees in Economics and an MBA in Business Intelligence & Business Analytics.

Work at EBANX

Daniel Wielewski Do Carmo has been employed at EBANX as a Fraud Prevention Analyst PL since 2021. In this role, he is responsible for leading and managing projects related to fraud prevention. His work involves the implementation and monitoring of PayOps KPIs, ensuring effective fraud detection and prevention strategies. He applies his expertise in analytics and statistical modeling to enhance the company's fraud prevention measures.

Previous Experience in Fraud Prevention

Before joining EBANX, Daniel worked at Juno in various roles related to fraud prevention and compliance. He served as a Fraud Prevention Analyst PL from 2019 to 2021 and as an Analista de Risco e Compliance JR from 2018 to 2019. He also held the position of Assistente de Risco e Compliance from 2017 to 2018. His cumulative experience at Juno provided him with a solid foundation in risk management and compliance practices.

Education and Expertise

Daniel holds a Bachelor’s degree in Economics from Universidade Federal do Paraná, where he studied from 2009 to 2015. He furthered his education by obtaining a Master of Business Administration (MBA) in Business Intelligence & Business Analytics from Universidade Positivo in 2020. His academic background supports his expertise in analytics, performance measurement, and fraud prevention.

Technical Skills and Tools

Daniel is proficient in using various BI tools, including Tableau, Metabase, and PowerBI, which he utilizes for data analysis and reporting. He has experience working with databases such as MySQL and RedShift. Additionally, he is skilled in automation using Python and RPA tools, which enhances his ability to develop statistical models and improve operational efficiency.

Career Background

Daniel's career spans several roles in technical support and analytics. He worked at GVT as a Suporte técnico from 2011 to 2013 and at BTCC Conexão Cliente as Suporte técnico avançado from 2015 to 2016. He also served as an Analista de Atendimento ERP at Mega Sistemas Corporativos for a brief period in 2014. This diverse background has contributed to his comprehensive understanding of technical and analytical processes.

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