Hello, I'm Islam 👋

I'm a Bioinformatics Data Scientist passionate about translating complex biological data into clinical insights. My expertise lies at the intersection of biostatistics, data analysis, and genomics, with a focus on cancer research, immunotherapy, and public health.

I leverage a unique background in clinical healthcare to build robust analytical pipelines in R, uncovering biomarkers from large-scale datasets like TCGA and GEO to help advance personalized medicine.

This section lists my key technical skills. You can see them applied in my pinned repositories below.

• Languages: R (tidyverse, ggplot2, survminer), SQL
• Bioinformatics & Genomics:
  • TCGA & GEO Data Acquisition and Processing (TCGAbiolinks, GEOquery)
  • RNA-Seq and Gene Expression Analysis (TPM/FPKM Normalization, GSVA)
  • Biomarker Discovery and Validation
• Statistics & Machine Learning:
  • Survival Analysis (Kaplan-Meier Curves, Log-rank Test, Cox Proportional Hazards Models)
  • Predictive Modeling (Logistic Regression)
  • Hypothesis Testing (Chi-squared Test, etc.)
• Data Visualization & Reporting:
  • Publication-Quality Graphics (ggplot2, pheatmap)
  • Interactive Dashboards (Power BI)
  • Data Reporting (Excel, Google Sheets)

I specialize in conducting end-to-end data analysis projects that answer critical questions in biomedical research. My work typically involves:

• Developing and implementing robust, reproducible analysis pipelines in R.
• Analyzing large-scale genomic and clinical data to identify potential prognostic or predictive biomarkers.
• Building and interpreting statistical models to assess the significance of clinical and biological variables.
• Communicating complex findings through clear data visualizations, reports, and interactive dashboards.

• LinkedIn
• Hire me on Upwork