I’m currently upskilling by working on
- Hands-on bioinformatics projects, including minimal NGS pipelines (QC → alignment → variant calling, RNA-seq), and genomic/clinical data analysis & interpretation.
I’m actively learning
- NGS data analysis and genomics workflows using Python, R, and Linux, along with SQL and applied AI/ML concepts.
I’m open to collaborating on
- Beginner-to-intermediate Bioinformatics and genomics data analysis projects, clinical/healthcare analytics, or research-oriented learning initiatives.
I’m looking for help with
- Best practices in genomics pipelines, variant interpretation, and learning & improving reproducibility in bioinformatics workflows.
PS: I enjoy constant learning through practical projects and turning complex biological data into meaningful insights.