
M. Nayeli Luis-Vargas
Data analyst internship

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About me
Data Analyst | Bioinformatician | R | Python
Education

Universidad Nacional Autónoma de México
-Bachelor's degree Biology• Dissertation title: Characterization of bacterial communities in microbial mats and terrestrial stromatolites in lava tube systems of Chimalacate‑pec, Mexico.

Universidad Nacional Autónoma de México
-Master's degree Experimental biologyAktiviteter og foreninger:Microbial ecology | eDNA | metabarcoding | 16S rRNA | multivariate statistics | graph theory • Got expertise in microbial ecology, environmental microbiology, bioinformatics, and molecular biology techniques.• Dissertation title: Analysis of prokaryotic communities of microbial mats and organic‑sedimentary structures associated with pseudokarsticcaves in Sierra del Chichinautizin, Mexico.

La Trobe University
-Doctor of Philosophy - PhD Microbial ecology
Experience

Laboratory of Biotechnology and Genomics, UNAM
Jan 2018 - Sept 2019Data analyst internship• Learned and performed sequence analysis of 16S rRNA with QIIME2.• Developed pipelines for microbial ecology analysis and visualization with R through specialized libraries like phyloseq.• Did biostatistical analysis for environmental data with R, usually applying inferential statistics and clustering algorithms.

Winter Genomics
Nov 2021 - Dec 2022Bioinformatician consultant• Participated in several projects about microbial ecology, in which the goal was pathogens detection, compositional taxonomy description, orenvironmental monitoring.• Developed sequence analysis using bioinformatics tools (DADA2 and QIIME2) of genetics markers (i.e., 16S, ITS, 23S) from platforms like Illuminaand Oxford Nanopore• Did microbial ecology analysis through specialized libraries in R (phyloseq, microbiome, microbiomeutilities, Tax4Fun2 etc. )• Gave advisory in metabarcoding and biostatistical projects. I used to generate a proposal for customers to develop a project in the best wayconsidering their data and limitations.• Performed data analysis using Python and R. In those projects, I was responsible for all the processes, including data cleaning, data organization,data exploration, statistical analysis/ building models, visualization, and reporting results (both written and oral).• Developed semi‑automatized bioinformatics pipelines for customers in R and Python.• Gave technical support to installing or updating bioinformatics software or specialized libraries, especially in UNIX like systems.• Developed, implemented, and participated in programming, bioinformatics, and biostatistics courses. For example, “R and RStudio for begin‑ners,” “Programming fundamentals with Python,” “Microbiome 16S”, “Principles of Machine Learning with R,” “Data Science with Python,” “Linuxfor beginners,” and “Rmarkdown for beginners.” Vis mindre
Licenses & Certifications

Ensamblando Genomas Bacterianos. 20 h.
ATGenomicsMar 2021- View certificate

Curso completo de R para Data Science con tidyverse
UdemyFeb 2021 
Fundamentos de programación con R
Universidad Nacional Autónoma de MéxicoJun 2020- View certificate

2nd Workshop in Advanced Bioinformatics. Graph theory with R.
CINVESTAV Unidad IrapuatoFeb 2021 - View certificate

Estadística inferencial para Machine Learning con R y Python
UdemyJun 2021
Volunteer Experience
Collaborator as data analyst
Issued by Omdena Capítulo México on Jul 2021
Associated with M. Nayeli Luis-Vargas
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