Headline

Bioinformatics | Genomics | NGS | WGS | RNA-Seq | MD Simulations| Python | R programming | Linux | Nanopore Sequencing | AI/ML | Workflow Automation | Database Development

About

I am an M.Sc. Bioinformatics graduate with hands-on experience in genomics, transcriptomics, AI/ML-driven healthcare analytics, and computational biology. • Currently Working on methylation-based personalized medicine and Nanopore cancer genomics projects involving variant analysis, healthcare analytics dashboards, AI/ML disease prediction models, and molecular dynamics simulation. • Performed single-cell RNA-seq analysis of colorectal cancer datasets to investigate tumor-associated macrophage heterogeneity, differential gene expression, and immune-related pathway enrichment. • Conducted bacterial whole genome sequencing analysis using Oxford Nanopore data for genome assembly, functional annotation, and identification of abiotic stress tolerance genes. Technical skills: • Python, R, Linux, Bash • Nanopore Sequencing, Variant Calling, scRNA-seq • Seurat, Minimap2, Samtools, BCFtools, SnpEff, IGV • Flask, MongoDB, MySQL • Scikit-learn, SHAP, LIME • GROMACS, PyMOL • Snakemake, Nextflow, AWS, PBS-Pro I am particularly interested in cancer genomics, AI applications in healthcare, precision medicine, transcriptomics, and bioinformatics pipeline development. Open to opportunities in Bioinformatics, Computational Biology, Genomics, AI/ML in Healthcare, and Precision Medicine.

Location

Pimpri Chinchwad

Work experience

Bioinformatics AI Intern at Bio-Silicon Labs Vienna, EU & UP, India, Mar 2026 - Present · 4 mos, India, • Designed automated NGS pipelines using Snakemake and Nextflow for scalable genomic data processing. • Performed Nanopore long-read analysis including quality control, alignment, BAM processing, variant calling, and ClinVar-based variant validation using tools such as Minimap2, Samtools, and BCFtools. • Developed a Flask and MongoDB-based healthcare analytics dashboard for storage, querying, and visualization of 4,900+ patient stroke records. • Built REST APIs, ETL workflows, and interactive data visualizations using PyMongo, Pandas, JavaScript, and Chart.js for clinical data analysis. • Developed AI/ML workflows for heart disease and stroke prediction using Scikit-learn, CatBoost, and MLPClassifier with feature engineering, SMOTE balancing, PCA/LDA, and ensemble stacking. • Applied explainable AI techniques including SHAP and LIME, along with evaluation metrics such as ROC and precision-recall analysis for model interpretation. • Performed molecular dynamics simulation and trajectory analysis of protein–ligand complexes using GROMACS to evaluate molecular stability and interactions.

Bioinformatician at CSIR- National Chemical Laboratory, Aug 2024 - Jul 2025 · 1 yr, Pune, Maharashtra, India, I worked on a project titled 'Bacterial Whole Genome Analysis of Serratia fonticola to Identify Drought Tolerance Genes.' The project data was obtained using Nanopore sequencing, and I performed the analysis using the command-line interface. Additionally, I have written a thesis on this project.

Education

Msc, Bioinformatics and Computational Biology, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Bsc biotechnology, Biotechnology, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune