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Siva Santhiya ArulSA
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Siva Santhiya Arul

@sivasanthiyaarul

Bioinformatics Analyst at Zifo developing R Shiny applications and bioinformatics workflows for multi-omics data.

India
Message

At Zifo, I develop interactive data visualization applications and bioinformatics workflows for large-scale multi-omics datasets, including single-cell RNA-seq, bulk transcriptomics, proteomics, GWAS, and PheWAS data.

I build scalable R Shiny applications, integrate databases using SQL, and deploy applications through GitHub Actions, Docker, Shiny Server, and RStudio Connect. I also develop and maintain bioinformatics pipelines using Nextflow and monitor cloud-based pipelines with Seqera Platform.

My work includes statistical analysis, data visualization, and predictive modeling, including LASSO-based organ age prediction models. Earlier, I worked as a Research assistant at Biomeitez research and development laboratory in microbiology and molecular biology.

Experience

Work history, roles, and key accomplishments

ZI
Current

Bioinformatics Analyst

Zifo

Aug 2021 - Present (5 years 2 months)

Developed interactive data visualization applications and bioinformatics workflows, handling large-scale multi-omics datasets including single-cell RNA-seq, bulk transcriptomics, proteomics, GWAS, and PheWAS data. Built scalable R Shiny applications, integrated databases using SQL, and deployed applications via GitHub Actions, Docker, Shiny Server, and RStudio Connect.

BL

Research Assistant

Biomeitez Research and Development Laboratory

Feb 2021 - Jun 2021 (4 months)

Conducted research in microbiology and molecular biology.

Education

Degrees, certifications, and relevant coursework

Anna University logoAU

Anna University

M.Tech, Bio-Chemistry/Bio-Technology

Grade: 9.2/10

Pursued a Master of Technology in Bio-Chemistry/Bio-Technology, achieving a grade of 9.2/10.

Anna University logoAU

Anna University

B.Tech, Bio-Chemistry/Bio-Technology

Grade: 8.66/10

Completed a Bachelor of Technology in Bio-Chemistry/Bio-Technology with a grade of 8.66/10.

Tech stack

Software and tools used professionally

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