Ricardo Ferreira

Data Scientist @ Ometria

About Ricardo Ferreira

Ricardo Ferreira is a Data Scientist with extensive experience in developing machine learning models and ensuring data integrity. He has worked at Ravelin Technology and currently contributes to Ometria, leveraging his educational background in Pharmaceutical Sciences and Bioinformatics.

Work at Ometria

Ricardo Ferreira has been employed at Ometria as a Data Scientist since 2022. In this role, he has developed machine learning models tailored to client needs using Python. He collaborates closely with the engineering team to integrate data solutions into the Ometria platform. His responsibilities also include validating data solutions with the team to ensure their effectiveness and providing recommendations for resolving data integrity issues. Additionally, he plays a key role in defining project scope and timelines by collaborating with cross-functional teams.

Previous Experience at Ravelin Technology

Ricardo Ferreira worked at Ravelin Technology as a Data Scientist from 2020 to 2022, where he implemented metrics and tests to ensure the reliability of deployed code. He later advanced to the position of Lead Data Scientist for a period of seven months in 2022. In both roles, he contributed to enhancing the data science capabilities of the organization.

Educational Background

Ricardo Ferreira holds two Master's degrees. He studied Pharmaceutical Sciences at Faculdade de Farmácia da Universidade do Porto from 2012 to 2017. He later pursued a Master's degree in Bioinformatics at Escola de Engenharia da Universidade do Minho from 2018 to 2020. Additionally, he completed a Management Course for Pharmacists at Faculdade de Farmácia da Universidade do Porto in 2016.

Experience at ALERT Life Sciences Computing

Prior to his roles at Ravelin Technology and Ometria, Ricardo Ferreira worked at ALERT Life Sciences Computing as a Content Analyst and Configurator from 2017 to 2018. In this position, he contributed to various projects that involved data analysis and configuration.

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