Summary
Overview
Work History
Education
Skills
Certification
Timeline
Projects
Projects
Hi, I’m

Rajdeep Rajdeep

Bioinformatician
Bangalore
Rajdeep Rajdeep

Summary

Demonstrated success in compiling and interpreting bioinformatics information by leveraging software, statistics and data mining. Effective at maintaining current understanding of field trends, technological advances and new computational and modeling techniques.

Overview

1
year of professional experience
1
Certificate

Work History

Karkinos Healthcare

Bioinformatician
01.2023 - Current

Job overview

    • Proved successful working within tight deadlines and a fast-paced environment.
    • Familiar with Linux CLI-based environments for efficient data manipulation and analysis.
    • Experienced in using package managers like Anaconda to manage and deploy bioinformatics software.
    • Spearheaded the discovery of the mutational landscape of HNSCC through comprehensive mutational analysis.
    • Conducted cohort analysis to identify patterns and trends in genomic data, contributing to the understanding of disease mechanisms.
    • Collaborated with interdisciplinary teams, including biologists and clinicians, to integrate bioinformatics findings into broader research objectives.
    • Proficient in extracting and processing data from JSON and VCF files using Python and R.

Education

SASTRA Deemed University
Thanjavur, Tamil Nadu

Master of Science from Bioinformatics
04.2001

University Overview

  • Graduation with Distinction, [4th, 2nd]
  • 8.01 GPA/CGPA

Adamas University
Kolkata

Bachelor of Science from Chemistry
04.2001

University Overview

  • 7.5 GPA/CGPA

Skills

    Python

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Certification

Bioinformatics Intern, Karkinos Healthcare - 6 months (Jan-June-2023)

Timeline

Bioinformatician

Karkinos Healthcare
01.2023 - Current

SASTRA Deemed University

Master of Science from Bioinformatics
04.2001

Adamas University

Bachelor of Science from Chemistry
04.2001

Projects

A key insight in understanding genomic alteration of Indian specific Head and Neck Squamous Cell Carcinoma cohort.

  • Conducted Whole Genome Sequencing (WGS) analysis on a cohort of 39 HNSCC patient samples, unraveling the genomic landscape and identifying key somatic mutations and copy number variations (CNVs).
  • Identified recurrent somatic mutations in well-known HNSCC-associated genes, such as TP53, CDKN2A, HRAS, PTEN, and PIK3CA, revealing diverse mutation patterns.
  • Uncovered novel somatic mutations in genes not previously linked to HNSCC, providing new insights into the molecular mechanisms underlying the disease in the Indian population.
  • Explored CNV patterns specific to the Indian cohort, utilizing advanced computational techniques to reveal unique genomic alterations associated with HNSCC.

Projects

A key insight in understanding genomic alteration of Indian specific Head and Neck Squamous Cell Carcinoma cohort.

  • Conducted Whole Genome Sequencing (WGS) analysis on a cohort of 39 HNSCC patient samples, unraveling the genomic landscape and identifying key somatic mutations and copy number variations (CNVs).
  • Identified recurrent somatic mutations in well-known HNSCC-associated genes, such as TP53, CDKN2A, HRAS, PTEN, and PIK3CA, revealing diverse mutation patterns.
  • Uncovered novel somatic mutations in genes not previously linked to HNSCC, providing new insights into the molecular mechanisms underlying the disease in the Indian population.
  • Explored CNV patterns specific to the Indian cohort, utilizing advanced computational techniques to reveal unique genomic alterations associated with HNSCC.
Rajdeep RajdeepBioinformatician