Summary
Overview
Education
Skills
Websites
Internship
Activities
Projects
Languages
Certification
Interests
Timeline
Generic
Sravani M V

Sravani M V

Bio-Informatics
Bengaluru

Summary

Apply computational skills and knowledge of genomics to develop innovative solutions for analyzing large-scale biological data sets.

Utilize expertise in bioinformatics to contribute to research projects aimed at understanding complex biological systems.

Overview

5
5
years of post-secondary education
1
1
Certification

Education

Master of Science - Bioinformatics

Reva University
Bengaluru, India
08.2022 - 08.2024

Bachelor of Science - Bioinformatics

Reva University
Bengaluru, India
07.2019 - 07.2022

Skills

Programming

  • Python

  • R Programming

Bio Informatics

  • BLAST

  • GROMACS

  • AUTODOCK

  • MODELLER

  • FAST QC

  • CLUSTAL-W

MS Office

Internship

Engaged in a dynamic Bioinformatics internship and actively gained hands on experience in the field of Bioinformatics. (Quantumzyme)


During my internship at Quantumzyme, I focused on computational tools and simulations to study the behavior and interaction of biomolecules.

The experience enhanced my understanding of molecular dynamics and structure-based drug design.

Activities


  • Observership Program at Auxochromofours Solutions.
  • Completed course on Python Programming and NGS (Next-Generation Sequencing) Data Processing.
  • Successfully finished a 5-day Transcriptome and Metagenome Sequencing SDP (Skill Development Programme) at Bionivid Technology Private Limited .
  • Completed NPTEL course on Genome Editing and Engineering .
  • Attended Animal Behaviour and Trends in Zoological studies at at Ethological Society of India.
  • Attended International Webinar on "Whole Exome Sequencing and Data Analysis".
  • Attended Workshop on The Human Microbiome to Improve Health conducted by Improvf Organization.

Projects

1. Drug Discovery


Computational approaches for identifying novel treatments for schizophrenia.


2. Drug Discovery


Integrative Computational Approaches in Network Biology for Cardiomyopathy Drug Lead Identification


3. RNA Sequencing


Integrated Analysis of RNA-Sequence Data for the Identification of Hub Genes and pathways Involved in the Arrhythmogenic Cardiomyopathy.


Languages

English
Professional Working
Telugu
Native or Bilingual
Kannada
Native or Bilingual

Certification

Certified [Unravelling biomolecular interaction through Insilico techniques], [Quantumzyme] - [05th Feb 2024-May 14th 2024]

Interests

NGS (Next-Generation Sequencing)

Genomics

Drug Discovery and Development

Art

Music

Timeline

Certified [Unravelling biomolecular interaction through Insilico techniques], [Quantumzyme] - [05th Feb 2024-May 14th 2024]

05-2024

Master of Science - Bioinformatics

Reva University
08.2022 - 08.2024

Bachelor of Science - Bioinformatics

Reva University
07.2019 - 07.2022
Sravani M VBio-Informatics