I’m a passionate Computational Biologist with a strong foundation in genomics, transcriptomics, and next-generation sequencing (NGS) data analysis. With several years of hands-on experience in both academic research and industry-level projects, I specialize in transforming complex biological data into meaningful insights.

My expertise spans across RNA-Seq, ChIP-Seq, metagenomics (16S/18S rRNA and shotgun), SNP calling, genome assembly, and functional annotation. I am proficient in tools like Galaxy, R, Python (Biopython, Pandas, Seaborn), and command-line pipelines for high-throughput sequencing data. I bring precision and clarity to data-driven research, helping uncover hidden patterns in large biological datasets.

I’ve worked on various human, bacterial, and environmental datasets, identifying novel genes, pathways, and biomarkers. Whether it's differential gene expression analysis, microbiome profiling, KEGG pathway mapping, or creating publication-ready visualizations, I deliver results tailored to the research question.

What sets me apart is my ability to not only run analyses but to interpret and communicate biological significance clearly—bridging the gap between data science and life science. I'm also experienced in collaborating remotely with international researchers, ensuring timely and high-quality outcomes.