Transform Raw Genomic Data into Actionable Biological Insights Are you struggling with complex biological datasets? I am a Cancer Biologist (MSc Distinction, UK) cross-trained in Biomedical Data Science. Unlike traditional data analysts, I deeply understand the wet-lab methodologies (PCR, Cell Culture, Flow Cytometry) that generate your data, allowing me to spot biological nuances and wet-lab noise. I offer comprehensive data analysis services using Python and R, including Next-Generation Sequencing (NGS) quality control (FastQC, Trimmomatic), RNA-Seq pipelines, and Single-Cell RNA-Seq (scRNA-seq) analysis utilizing tools like Scanpy and Seurat. Whether you need data cleaning, statistical hypothesis testing (GraphPad Prism/R), or high-quality publication-ready visualizations, I can bridge the gap between your bench work and computational insights.