Mimansa Kulshrestha

Bioinformatics postgraduate skilled in Python, R, Linux, machine learning, and biological data analysis with hands-on experience in computational biology, NGS workflows, and reproducible bioinformatics pipeline development.

Project Intern - GENOTOME: The Centre for Advanced Genomics - Pune, Maharashtra

(2025-12 - 2026-05)

• Built transcriptomic analysis and biomarker discovery workflows using GEO RNA-seq datasets, Monocle3, pathway analysis, and genomic data integration, identifying 2,500+ stage-specific genes.

Research Intern - Centre of Bioinformatics Research and Technology - New Delhi

(2025-05 - 2025-07)

• Developed machine learning workflows for biological sequence classification using R and WEKA, achieving >94% accuracy through feature engineering and ensemble learning.

Research Intern - BioNome | For Genomics & Bioinformatics Solution - Bangalore

(2023-05 - 2023-07)

• Performed molecular docking and ADME analysis using AutoDock, PyRx, and PyMOL to identify potential lead compounds targeting APP protein.

Master of Science - Bioinformatics - Rajiv Gandhi Institute of IT and Biotechnology (2024-08 - 2026-05)

Bachelor of Science - Biotechnology - GLA University (2021-08 - 2024-07)