Priyadarshini Kilari – Unveiling the Secrets of Biomarkers: A Bioinformatics Journey You Can’t Miss!

Priyadarshini Kilari

Summary: Diligent and results-oriented Bioinformatics professional with experience in developing automated pipelines for data processing and analysis. Skilled in conducting NGS data analysis, integrating multiomic datasets, and identifying biomarkers for metabolic disorders.

Work Experience

Vizzhy Pvt Ltd, Bengaluru, Karnataka

Bioinformatics Intern – Jan 2025 Present

• Developed and implemented automated pipelines for efficient data processing and analysis.
• Conducted NGS data analysis, including variant calling using GATK and bulk RNA-seq analysis with DESeq2 and limma.
• Integrated multiomic datasets using advanced statistical methods in MOFA and iCluster, extracting key biological insights.
• Created detailed reports and visualizations to support research findings and data-driven decision-making.

Education

Reva University, Bengaluru, Karnataka

MSc Bioinformatics Graduation Date: Jun 2025

BSc Chemistry Botany Zoology Graduation Date: Aug 2023

Project Experience

Vizzhy, Bengaluru, Karnataka

Multiomic integration for biomarker identification – Jan 2025 Present

• Investigating biomarkers for metabolic disorders, including Cardiovascular Disease (CVD), Type 2 Diabetes (T2D), Obesity, and Non-Alcoholic Fatty Liver Disease (NAFLD).
• Successfully identified top biomarkers for CVD by integrating genomics, transcriptomics, and proteomics datasets.
• Analyzed open-access datasets, including Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), bulk RNA-seq, and mass spectrometry data for proteomics.
• Developed and executed Bash scripts for data processing and performed visualization and integration using R packages such as MCIA and MOFA.

Identification of therapeutic agents for cataract – Jun 2024 Sep 2025

• Conducted a comprehensive Computer-Aided Drug Discovery (CADD) study for alpha-crystallin lens proteins.
• Applied homology modeling and molecular docking to identify and optimize lead compounds, improving docking scores by 15%.
• Utilized PyRx and Biovia Discovery Studio for ligand-protein interaction analysis and lead compound refinement.
• Presented research findings in a seminar, receiving positive feedback from peers and faculty.

RNA Seq analysis on NGS dataset – Dec 2023 Feb 2024

• Performed differential gene expression analysis using DESeq2 in R, ensuring high-quality input through stringent quality checks.
• Achieved high-quality sequencing data with Phred scores of 36-38 and 92% of bases above Q30, confirming data reliability.
• Visualized gene expression data and fold changes, elucidating significant biological pathways.

Skills

Keywords: Programming Languages: Python, R, Bash Scripting, Linux; NGS Data Analysis: RNA-seq (DESeq2, limma), Variant Calling (GATK), Sequence Alignment and Annotation, Metagenomics, Proteomics analysis; Multiomics Integration: MOFA, MCIA, iCluster, OmicsAnalyst; Machine Learning: Scikit-learn, TensorFlow.

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Cover Letter:

I am writing to express my interest in the [Position Name] at [Company Name]. As an MSc Bioinformatics graduate from Reva University, with hands-on internship experience at Vizzhy Pvt Ltd, I have gained strong proficiency in NGS data analysis, multiomic integration, and bioinformatics tools like GATK, DESeq2, and R.

At Vizzhy, I have developed automated pipelines, conducted RNA-seq and variant calling analysis, and integrated genomics, transcriptomics, and proteomics data to identify biomarkers for metabolic disorders. I have also applied machine learning techniques using MOFA and iCluster to derive valuable insights, which I presented in detailed reports and visualizations.

I am confident my technical skills and practical experience will contribute to [Company Name]’s goals. I look forward to the opportunity to discuss how I can add value to your team.

Thank you for considering my application.
Sincerely,
Priyadarshini