https://github.com/datastalker/datastalker
https://github.com/datastalker/datastalker
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/datastalker/datastalker
- Owner: DataStalker
- Created: 2024-08-23T12:41:11.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-10-02T15:55:15.000Z (8 months ago)
- Last Synced: 2025-10-10T05:57:39.115Z (8 months ago)
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
---
# 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.
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## 🛠️ Core Competencies & Skills
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)
## 📈 My Work & Professional Focus
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.
## 👋🏻 Connect with Me
- [**LinkedIn**](https://www.linkedin.com/in/islam-asal/)
- [**Hire me on Upwork**](https://www.upwork.com/freelancers/~013d6a166b16c6a7b4?mp_source=share)
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