Mariana Almeida
About Mariana Almeida
Mariana Almeida is a Machine Learning Engineer with a strong background in Chemical and Petroleum Engineering. She has experience in product development, data science, and fraud detection, and currently works at Sinch while actively contributing to data science literature.
Work at Sinch
Mariana Almeida has been employed at Sinch as a Machine Learning Engineer since 2021. In this role, she develops machine learning models end-to-end, which includes tasks from dataset creation to monitoring. She is part of the global anti-fraud team, where she presents applications and findings to stakeholders. Her work involves engaging in research on state-of-the-art practices for fraud detection, utilizing various technologies such as Docker, Kafka, and Luigi.
Education and Expertise
Mariana Almeida holds a Master's degree in Chemical Engineering from Universidade Federal do Rio de Janeiro. Additionally, she studied Petroleum Engineering at Heriot-Watt University, where she also achieved a Master's degree. She has furthered her education in Artificial Intelligence through a program at Udacity, focusing on Natural Language Processing. Currently, she is pursuing a degree in Information Technology with a concentration in Software Engineering at Descomplica Faculdade Digital.
Background
Before joining Sinch, Mariana Almeida worked as a Product Development Manager at White Martins from 2016 to 2021 in Rio de Janeiro, Brazil. She also volunteered as a Data Scientist at HealthLake for eight months in 2021 in Belo Horizonte, Minas Gerais. Earlier in her career, she was a Petroleum Engineering Trainee at Galp for one year in Lisboa, Portugal. Her diverse background spans various roles in engineering and data science.
Achievements
Mariana Almeida has a portfolio that showcases her machine learning projects and data science work. She contributes articles on data science topics to platforms such as AI in Plain English and Analytics Vidhya. Her engagement in research on fraud detection practices highlights her commitment to advancing knowledge in her field. Additionally, she has presented her findings to stakeholders, demonstrating her ability to communicate complex information effectively.