- 🧬 I specialize in comparative genomics, structural bioinformatics, and machine learning applications in biology.
- 🔍 I'm passionate about decoding biological complexity through data-driven approaches and building scalable bioinformatics workflows.
- 🧠 My interests span multi-omics integration, functional genomics, and single-cell transcriptomics.
- 🚀 I'm looking to collaborate on projects at the intersection of genomics and machine learning — from predictive modeling to functional data analysis.
- 📝 I've co-authored peer-reviewed publications and have hands-on experience with genome analysis, protein structure modeling, and pipeline development.
- 🌱 Currently sharpening my expertise in Nextflow, single-cell data analysis, and cloud-based bioinformatics.
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amr-geno2dock
amr-geno2dock PublicCharacterising the AMR landscape via EDA and predictive modelling, and developing an integrated pipeline that bridges genomic surveillance data to protein targets and ligand candidates for downstre…
Jupyter Notebook
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amr-baumannii-ml
amr-baumannii-ml PublicAMR prediction pipeline for Acinetobacter baumannii using whole-genome sequencing and machine learning (Random Forest, Logistic Regression) with SHAP-based gene importance analysis.
Jupyter Notebook
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Anand-Research-Group/complex-I
Anand-Research-Group/complex-I PublicThis repository contains a set of scripts and workflows designed to search for Respiratory Complex I (NADH Ubiquinone Oxidoreductase) subunits in prokaryotic genomes and proteomes.
Jupyter Notebook
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transcriptomics-scripts
transcriptomics-scripts PublicA structured collection of transcriptomics pipelines for bulk RNA-seq, single-cell, and spatial analysis across bacteria, plants, fungi, and mammals.
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knowledge-pipeline-prompts
knowledge-pipeline-prompts PublicThe 10-Prompt System That Turns Raw Papers, Videos, and Lectures Into Structured Knowledge
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