I will analyze genomic and biological data
About this Gig
Got complex biological or genomic data that needs to be handled carefully and explained in plain, usable terms? I offer bioinformatics and scientific data analysis services that prioritize accuracy and deliver results you can act on, with a clean, reproducible workflow and a clear readout of what the data is saying.
For each project, I work through your dataset end to end, choose statistical methods that fit your research question, and package outputs for easy review: well-labeled figures, practical summaries, and documentation that traces every conclusion back to the underlying numbers. Work involving SNP analysis, VCF review, variant calling, gene expression, or broader NGS processing is shaped around your specific goal, not a one-size template.
Analyses run in R and Python, delivered through documented Jupyter Notebooks so the full process stays transparent and repeatable. With an MS in Biotechnology, I bring the scientific grounding to produce genomic analyses that are rigorous, properly documented, and ready to support a manuscript, report, or next research phase.
My Portfolio
FAQ
What types of data can you work with?
I work with genomic data files including VCF and parquet files, SNP chip data, biological datasets in CSV or Excel format, and other structured scientific data formats.
Will I be able to reproduce your analysis?
Yes. All code and analysis steps are fully documented so you can reproduce or independently verify the results.
What tools do you use?
I primarily use Python, R, and Jupyter Notebook for analysis and visualization.
Can you handle large datasets?
Yes. I have experience working with large biological datasets and use appropriate tools to process data that exceeds standard memory limits.
Can you explain the results if I am not a specialist?
Yes. I can deliver results with plain-language interpretation alongside the technical output, so the findings are accessible regardless of your background.
