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Raíssa Alvim TeixeiraRT
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Raíssa Alvim Teixeira

@rassaalvimteixeira

Data scientist and data engineer delivering AI-driven analytics and reliable data pipelines.

Brazil
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What I'm looking for

I seek roles where I can build reliable data pipelines, apply statistical and ML methods (including LLMs), collaborate cross-functionally, and contribute to impactful, evidence-based decisions in industry or public sector.

I am a data scientist and data engineer with experience applying statistical analysis, predictive modeling, and large language models to industry and public-sector projects. I have prepared and cleaned complex datasets, validated consistency across multiple sources, and led data-driven initiatives to inform decision-making.

I have worked on generative AI projects for Petrobras, supported operational indicator analysis at the Ministry of Human Rights and Citizenship, and contributed to meta-analysis research in health. My background includes detecting failure origins in equipment monitoring, performance evaluation of AI models, and improving assessment reliability through rigorous analysis.

I hold a Bachelor's degree in Statistics from the University of Brasília and bring hands-on experience with Python, R, SQL, cloud data tooling, and visualization platforms. I prioritize reproducible workflows, cross-team collaboration, and delivering actionable insights that drive better outcomes.

Experience

Work history, roles, and key accomplishments

MA
Current

Applied Research Assistant

Meta-Analysis Academy

Jan 2025 - Present (1 year 5 months)

Contributed to collaborative meta-analysis projects in health research, preparing databases and performing statistical analyses for publication.

Education

Degrees, certifications, and relevant coursework

University of Brasília logoUB

University of Brasília

Bachelor's Degree, Statistics

2017 - 2023

Completed a Bachelor's Degree in Statistics with coursework in applied statistics, predictive modeling, and time series, supporting data analysis and modeling tasks.

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