Summary
Overview
Work History
Education
Skills
Languages
Affiliations
References
Timeline
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Udit  Rustagi

Udit Rustagi

New Delhi

Summary

Biotechnology enthusiast with hands-on experience in wet lab research, particularly working with microorganisms. Interested in leveraging computational tools and data analytics to complement experimental approaches in life sciences. Passionate about integrating laboratory research with innovative biotechnological solutions.

Overview

2026
2026
years of professional experience

Work History

Volunteer

Uttejana Foundation
New Delhi
01.2025 - Current
  • Spearheaded initiatives aimed at improving overall operational efficiency within the organization using latest tools and techniques available in the market .
  • Developed and implemented project management methodology to ensure the successful delivery of projects.

In House Internship

Amity University Noida
Noida
05.2024 - 07.2024
  • Review Paper On "Proteomics And Metabolomics Biomarker Identification For Female Infertility"
  • Strong background in biomarker identification, validation, and clinical translation.
  • Experienced in data analysis, bioinformatics, and statistical modeling for omics research.
  • Skilled in literature review and systematic analysis of omics-based infertility research.

NTCC Project

Amity University Noida
Noida
06.2023 - 07.2023
  • A term paper Project titled "viral polymerase as drug target"
  • Generated detailed reports that outlined the methodology used during a particular study as well as its results.
  • In-depth knowledge of viral polymerases as drug targets for antiviral therapy.
  • Skilled in literature review, drug discovery methodologies, and resistance mechanisms.

Project

Independent Project
New Delhi

Early Cardiovascular Disease Detection: Early Cardiovascular Disease Detection using a Machine Learning model

  • Cardiovascular diseases (CVDs), including heart disease, are the leading cause of death worldwide. Early detection of heart disease is critical for preventing serious health outcomes, and improving the quality of life for patients. With the increasing availability of medical data, machine learning models can be used to predict whether a patient is likely to develop heart disease based on certain health indicators. Cardiovascular diseases (CVDs), including heart disease, are the leading cause of death worldwide. Early detection of heart disease is critical for preventing serious health outcomes, and improving the quality of life for patients. With the increasing availability of medical data, machine learning models can be used to predict whether a patient is likely to develop heart disease based on certain health indicators.

Education

Bachelor of Technology - Biotechnology

Amity University
Noida, Uttar Pradesh
05-2026

12th CBSE Board With 85% in Physics, Chemistry And Biology -

Salwan Public School
Rajendra Nagar, New Delhi
05-2021

CBSE 10th Board With 88.4% -

Salwan Public School
New Delhi,India
05-2021

Skills

  • Biotechnology techniques
  • Project management
  • Data analysis
  • Quality control
  • Laboratory safety
  • Research methodologies
  • Literature Review
  • Bioinformatics
  • Team collaboration
  • Clear communication

Languages

Hindi
First Language
English
Proficient (C2)
C2

Affiliations

  • Successfully completed 2 day offline workshop on AI and ML with DEEP Learning conducted by Edutech Life in association with Tryst, IIT Delhi

References

References available upon request.

Timeline

Volunteer

Uttejana Foundation
01.2025 - Current

In House Internship

Amity University Noida
05.2024 - 07.2024

NTCC Project

Amity University Noida
06.2023 - 07.2023

Project

Independent Project

Bachelor of Technology - Biotechnology

Amity University

12th CBSE Board With 85% in Physics, Chemistry And Biology -

Salwan Public School

CBSE 10th Board With 88.4% -

Salwan Public School
Udit Rustagi