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Shruti Sharma

Shruti Sharma

BIOINFORMATICS ANALYST

Talent
Delhi, DelhiMember since May 25, 2024
HISAT2SAMtoolsGATKSPAdesBaktaRNA-SeqWGSDe novo AssemblyPythonWorkflow automationData visualizationReport generationScikit-learnPandasNumPyMatplotlibNGS data analysisProteomics
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HISAT2SAMtoolsGATKSPAdesBakta

About

Bioinformatics professional with extensive experience in NGS data analysis, RNA-Seq, Whole Genome Sequencing (WGS), and Proteomics. Skilled in pipeline development, sequence alignment, variant calling, and functional annotation. Strong proficiency in Python, R, and Bash for data processing and workflow automation. Passionate about translating complex genomics data into meaningful biological insights.

Experience

Bioinformatics Analyst at NGB Diagnostics (2025-01 – Present)

  • Lead end-to-end NGS, RNA-Seq, and WGS data analyses including QC, alignment, variant calling, and interpretation.
  • Optimized workflows using Python and Bash to enhance large-scale data processing efficiency.
  • Conducted variant, CNV, and transcriptome analyses using tools such as GATK, HISAT2, and SAMtools.
  • Delivered biologically meaningful reports and insights for clients, ensuring data accuracy and quality improvement.
  • Managed multi-project bioinformatics workflows involving RNA-Seq, WGS, and metagenomics.
  • Automated routine tasks using Python/R scripting for improved scalability.
  • Utilized public databases for sequence annotation.
  • Coordinated project timelines, documentation, and client communication.

Bioinformatics Intern at NGB Diagnostics (2024-08 – 2024-12)

  • Supported large-scale genomic analyses and automated key data processing steps.
  • Developed Python and R scripts for data filtering, statistical analysis, and visualization.
  • Contributed to report generation and troubleshooting across research projects.

Research Intern at ICAR-Indian Agricultural Statistics Research Institute (2024-01 – 2024-07)

  • Developed ML models to predict plant disease-susceptible genes using Scikit-learn, Pandas, NumPy and Matplotlib.
  • Performed feature selection, data visualization, and statistical analyses.
  • Assisted in data collection for multiple research projects and databases to inform analyses.
  • Contributed to research paper writing and results interpretation.

Education

Master of Science in Bioinformatics – Chandigarh University (2024-06)

Bachelor of Science in Microbiology – Sharda University (2022-06)

Intermediate in Science – St. Dominic Savio's School Patna (2019-01)

High School in Science – St. Dominic Savio's School Patna (2017-01)

Skills

BIOINFORMATICS ANALYST

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