🔬 Bioinformatician | Data Scientist | Computational Biologist | Clinical Data Analyst | Biostatististician

I am a bioinformatician with 10+ years of experience in genomics, transcriptomics, and computational biology, focused on leveraging big data to solve complex biological questions. With a strong foundation in genomic data analysis, statistical modeling, and machine learning, I specialize in Next-Generation Sequencing (NGS), single-cell RNA-seq, GeomaX, Spatial Transcriptomic and multi-omics data integration.

🔧 Technical Skills:

Programming: Python, R, Bash, SQL
Data Analysis: RNA-seq, ChIP-seq, ATAC-seq, WGS, GWAS
Tools & Libraries: DESeq2, edgeR, STAR, HISAT2, GATK, Seurat, PyTorch, TensorFlow
Tech Stack: Docker, Nextflow, SLURM, Git
Platforms: AWS, GCP, Linux

🧠 Research Interests:

Single-cell genomics
Multi-omics integration
AI/ML in computational biology
Biomarker discovery
Personalized medicine
Spatial Transcriptomics

🌱 I am passionate about open-source bioinformatics tools, reproducible research, and building pipelines that make complex bioinformatics analysis accessible to both researchers and clinicians. Currently, I am exploring deep learning approaches for predictive modeling in genomic data.

🔗 Feel free to browse my repositories to check out the bioinformatics pipelines, scripts, and tools I’ve developed. Let's collaborate on pushing the boundaries of bioinformatics and computational biology!