Gabriel Mendes, Msc

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Bioinformatician and Data Scientist with +7 years of experience in Computational Biology.

M.Sc. in Genetics (UFMG). I specialize in Data Architecture for biological systems, leveraging Python, R, SQL, and Bash to build reproducible analysis pipelines.

My work bridges the gap between molecular biology and data science, handling complex datasets such as eDNA metabarcoding and variant calling. I focus on statistical rigor, data visualization, and software development to drive biological discovery in any organism or context.






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Portfolio


Research

Ingleses Lake Paper

Cipó River eDNA Metabarcoding project

Bioinformatics Freelance & Consulting

Dasa Variants Project

Somatic Variants Consulting


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