Lucas Silva

Lucas Silva

Coordenador De Crédito & Analytics @ C6 Bank

About Lucas Silva

Lucas Silva is the Coordinator of Credit & Analytics at C6 Bank, specializing in the automation of credit policies and reporting processes using SAS. He has a background in risk methodology at Santander Brasil and technical support at IBM, along with extensive education in computer science and information technology.

Current Role at C6 Bank

Lucas Silva serves as Coordenador de Crédito & Analytics at C6 Bank, a position he has held since 2021. In this role, he specializes in the automation of credit policies and reporting processes using SAS. His responsibilities include overseeing analytics tasks and implementing strategies to enhance credit decision-making processes.

Previous Experience at IBM and Santander Brasil

Prior to his current role, Lucas worked at IBM as Suporte Técnico de Sistemas Júnior from 2014 to 2015, where he provided technical support in São Paulo e Região, Brasil. He then joined Santander Brasil as Analista de metodologia de riscos lll, where he worked from 2015 to 2021. His experience at Santander involved analyzing risk methodologies and contributing to the bank's risk management strategies.

Education and Expertise in Technology

Lucas Silva has a solid educational background in technology. He studied Ciência da Computação at Uninove - Universidade Nove de Julho, obtaining a Bacharelado from 2015 to 2018. He further pursued Sistemas de Informação at the same university, achieving another Bacharelado from 2018 to 2020. Additionally, he completed a Curso Técnico in Tecnologia da Informação at Senac Brasil from 2012 to 2015. His studies in Ensino de Inglês como Segundo Idioma at Wise Up from 2012 to 2014 also contribute to his communication skills.

Technical Skills and Programming Proficiency

Lucas is proficient in multiple programming languages, including Python, Pyspark, and JavaScript, which he utilizes for analytics and automation projects. He has expertise in implementing decision engines using technologies such as NodeJS and Django. Furthermore, he employs Google Cloud Platform (GCP) for process automation and analytics tasks, enhancing the efficiency of his work.

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