🎓 Aspiring Bioinformatics Researcher | Genomics & Public Health
🔬 Passionate about uncovering insights from biological data using NGS analysis, computational biology, and machine learning.
- 🧬 Completed M.Sc. in Bioinformatics with strong academic performance (CGPA: 8.93).
- 🔎 Experienced in analyzing NGS datasets (WES, RNA-seq, microarray, metagenomics) through reproducible pipelines.
- 💻 Skilled in Python, R, Bash, Linux/Unix, Docker for bioinformatics and data science applications.
- 🤝 Open to research and industry collaborations in computational genomics, transcriptomics, and clinical bioinformatics.
- 🌟 Keen to apply bioinformatics for translational genomics, precision medicine, and public health.
Programming & Scripting: Python, R, Bash
NGS & Genomics: RNA-seq, WES, WGS, DEG analysis, variant calling, metagenomics
Pipelines & Tools: HISAT2, BWA, samtools, GATK, bcftools, DESeq2, limma, Kraken2, Bracken, QIIME2, Docker
Databases: NCBI, Ensembl, UniProt, GeneCards, STRING, PDBsum
Machine Learning: kNN, SVM, Random Forest
Visualization: PCA, Heatmaps, Volcano plots, Pathway Enrichment
- 🧬 Variant Calling in Ewing Sarcoma (WES) – Built a reproducible clinical genomics pipeline (BWA, GATK, Ensembl VEP, SnpEff).
- 🔎 RNA-Seq Hypoxia Study – Analyzed 20 runs from prostate cancer cell lines, performed DEG analysis (DESeq2), PCA, heatmaps, volcano plots, and pathway enrichment.
- 🤖 Cervical Cancer DEG with ML – Applied classification models (SVM, Random Forest, kNN) to microarray-based gene expression data.
- 🦠 Metagenomics Pipelines – Performed taxonomic classification and abundance profiling using Kraken2, Bracken, and QIIME2.
- 🧪 In-Silico CRISPR-Cas13 Dengue Detection – Designed guide RNAs, validated RNA structures, and checked off-targets for virus detection feasibility.
📧 [email protected]
💼 LinkedIn
💻 GitHub Portfolio
✨ "Turning biological data into meaningful insights through bioinformatics and computational genomics."