We utilize genomics tools to explore and integrate insights into host-pathogen relationships, aiming to enhance our understanding of these interactions.
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CSIR-IGIB
Data Scientist
June 19, 2026 – Present
Non-Canonical-metatranscriptomic-view-of-Microbial-functional-Antimicrobial-resistance-reservoirs
April 19, 2026 – Present
The repository contains all the code, scripts and workflows used to investigate the microbial community and the expression of antimicrobial resistance (AMR) reservoir from a non-canonical metatranscriptomic perspective.
View ProjectSARS-CoV-2-Variant-specific-transcript-isoform-dynamics
March 31, 2026 – Present
🧬 SARS-CoV-2 Variant-Specific Isoform Landscape and Host Splicing Reprogramming This repository contains the analysis workflows, scripts, and processed data supporting our study on isoform-level transcriptomic changes during SARS-CoV-2 infection across multiple variants.
View ProjectIntracellular-Microbial-Analaysis-of-BD-Rhapsody-Wta-Abseq-data
March 20, 2026 – Present
BD Rhapsody Wta Abseq Single cell data Analysis for intracellular microbial presence.
View ProjectWHO_SEARO_ONT_Workshop2026
March 18, 2026 – Present
Bioinformatics Module for Dengue Genome Sequencing in Oxford Nanopore Sequencing
View Project3rd_INDO-VIETNAM_SingleCell_Workshop_2026
February 23, 2026 – Present
3rd_INDO-VIETNAM_SingleCell_Workshop_2026 — GitHub repository
View ProjectDENViewer
April 3, 2025 – Present
A streamlit dashboard for exploring Dengue Genome surveillance data
View ProjectINGEN-HOPE.github.io
February 22, 2025 – Present
INGEN-HOPE.github.io — GitHub repository
View ProjectSingle-cell-microbial-Analysis
September 12, 2024 – September 17, 2024
This protocol outlines the precise steps for conducting a single-cell-based transcriptomic study among SARS-CoV-2 positive, recovered, and healthy individuals, with potential applicability to other infectious diseases.
View ProjectNestedCV
December 13, 2021 – December 13, 2021
Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in bioinformatics and biological data science, which aligns with a research-oriented data scientist role. However, the diversity of projects outside this niche is limited, and there is only one listed professional experience. This might indicate a strong specialization but potentially less breadth in general data science applications or industry-standard practices beyond research.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed assessment.