Bioinformatician
November 2021-Present
- Deployment: Deployed 3 R environments with scRNA-Seq data analysis toolkits like Seurat, Monocle3 and SingleCellExperimnet using Docker on AWS Cloud.
- Development: Contributed in the development of OmicsBox (BioBam’s flagship product based on the JAVA-OSGi framework) in 3 major release cycles.
- Design: Implemented 2 modular and user-friendly interfaces for the scRNA-Seq Module in OmicsBox, improving user experience and efficiency.
- Documentation: Publish blog posts and user manuals on BioBam’s website to educate users on the latest features and updates in OmicsBox regarding scRNA-Seq Data Analysis.
Bioinformatician
Careggi Hospital (MDS Lab, Hematology Department)
May 2023 - June 2023
- Workflow Development: Designed Snakemake workflow for analysing CUT&RUN data with highly abstracted rules.
- Pipeline Implementation: Optimised the workflow to ensure accurate and efficient data processing by integrating command-line tools and containerised R/Python-environment for reproducible analysis.
- Results Communication: Communicated and formulated bioinformatics results, including complex visualisations, to clinicians with non-computational backgrounds, facilitating understanding and informed decision-making.
Bioinformatics Data Analyst (Master’s Project)
Ryan Institute, University of Galway
June 2021 - August 2021
- Metagenomic Analysis: Analysed solid samples from Chernobyl Red Forest for the assessment of microbial co-occurrence networks in a radiation-affected site to better understand the microbial community interactions.
- Pipeline Development: Developed an end-to-end Nextflow pipeline, from raw reads to inferring co-occurrence networks using Cytoscape command line plugins, ensuring a seamless analysis
Bioinformatics Data Analyst (Bachelor’s Project)
Department of Computational Biology, IIIT Delhi
January 2020 - June 2020
- Designed a Python and shell script-based pipeline for the quantification of raw bulk-RNA seq reads.
- Performed differential expression analysis and functional enrichment analysis on bulk-RNA seq data from tuberculosis samples over a time series of infections.
- Applied Random Forest-based binary classifier to differentiate between progressive and non-progressive tuberculosis samples infection over the time series.