Headline

Bioinformatics Graduate | RNA-seq & NGS Data Analysis | Variant Calling & Annotation | Genomics Research | Linux & Bioinformatics Tools

About

🔬 Bioinformatics Intern – NGS Data Analysis Hapgenomics | Jan 2025 – july 2025| Bhopal, India - Conducted a comprehensive analysis of next-generation sequencing (NGS) data, including RNA-seq for gene expression profiling and SNP/variant detection. - Developed and implemented end-to-end bioinformatics pipelines using tools like STAR, FreeBayes, and Ensembl VEP. - Identified and annotated high-confidence variants in genes such as SERPINE1, COL18A1, and EIF3I relevant to ischemic stroke in sickle cell patients. - Contributed to transcriptomic studies and integrative genomic analysis to support biomarker discovery for SCD-related complications. - Gained hands-on experience with genome data formats (FASTQ, BAM, VCF), read alignment, variant calling, and pathway enrichment analysis using DAVID and VEP. 🧠 Projects: 🧬 Transcriptomic Study on Stroke Risk in Sickle Cell Disease - Used RNA-seq data from publicly available datasets (BioProject: PRJNA1045717). - Processed and analyzed expression data and variants using Ubuntu/Linux-based workflows. - Discovered novel heterozygous and homozygous variants potentially linked to ischemic stroke pathophysiology. 🧠 Parkinson’s Early Detection Using Machine Learning - Built predictive models using SVM and Scikit-learn, achieving up to 88.6% accuracy. - Preprocessed biological features and implemented classification algorithms to detect Parkinson’s disease early. 💊 In Silico Drug Discovery - Performed molecular docking of phytochemicals (Curcumin, Kaempferol, EGCG) against ACE2 using AutoDock, PyRx, and Discovery Studio. - Evaluated binding interactions and generated structure-based drug design insights.

Location

Bengaluru

Work experience

Reseach Intern at HapGenomics, Jan 2025 - Jul 2025 · 7 mos, Hybrid

Education

Graphic Era Deemed to be University

HapGenomics