Keerthi Gokhale – The Multitalented Marvel Reshaping Molecular Biology

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Curriculum Vitae

Introduction Summary

Keerthi Gokhale is an enthusiastic learner in the field of molecular biology with a strong background in public speaking, multilingual communication, poetry, and various extracurricular activities. Her academic achievements and passion for continuous learning make her a promising candidate in the scientific community.

Personal Details

  • Current Location: Karkala
  • Date of Birth: Sep 28, 2001
  • Gender: Female

Skills

  • Public Speaking
  • Multilingual
  • Orator
  • Poet
  • Author of EJournals and Magazines
  • Chess Player
  • Badminton Player
  • Drama Artist

Languages Known

  • English
  • Kannada
  • Hindi
  • Tulu
  • Telugu

Courses & Certifications

  • Graduation
  • Intermediate
  • Computer Skill
  • Data Analyst
  • Dedicated and Hardworking

Education History

  • Post Graduation: [hidden] (Molecular Biology), Central University of Andhra Pradesh, 2024
  • Graduation: [hidden] (Biology), Mangalore University, 2021, Grade: 89%
  • Class XII: CBSE, English Medium, 2020, Grade: [hidden]
  • Class X: CBSE, English Medium, 2017, Grade: [hidden]

Projects

  • International Seminar, 3 Days – Presented the paper on the topic “Rauwolfia Serpentina”
  • State Level Seminar, 2 Days – Secured the 2nd position

Special Achievements

Cleared ICAR entrance exam and secured the National Level 51st rank

Other Interests

  • Writing articles and stories
  • Singing
  • Chess playing
  • Watching movies

Profile Summary

Keerthi Gokhale – Enthusiastic learner in the field of molecular biology

Skills Keywords

Public Speaking, Multilingual, Orator, Poet, Author, Chess Player, Badminton Player, Drama Artist

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Cover Letter:

Dear Hiring Manager,
I am writing to express my interest in the Genome Analyst position , as advertised . With a strong background in , molecular biology, and data analysis, I am excited about the opportunity to contribute to your team’s cutting-edge work in genomic research and data interpretation

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