Open to opportunities

Vaishnavi Pande

@vaishnavipande

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Bioengineering graduate specialized in bioinformatics, molecular modeling, and computational biology.

India

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What I'm looking for

I seek roles that apply computational biology and AI/ML to healthcare problems, offering collaborative teams, research-driven projects, and growth in translational bioinformatics.

I am a dedicated Bioengineering graduate specializing in bioinformatics and computational biology, with hands-on experience in molecular docking, virtual screening, molecular dynamics, and genome analysis. I have executed in-silico drug target discovery workflows, structural analyses, and AI-driven research projects that bridge computational innovation with healthcare applications.

I collaborate effectively across interdisciplinary teams and communicate scientific findings clearly, backed by practical lab experience in molecular biology techniques and certifications in vaccine development and NGS. I aim to apply data-driven methods and AI/ML to advance diagnostics, therapeutics, and sustainable solutions in health science.

Experience

Work history, roles, and key accomplishments

Research Intern

Savitribai Phule Pune University

Conducted in-silico drug target discovery for Leishmania donovani using molecular docking and virtual screening, optimizing docking with AutoDock and Glide and evaluating binding affinity and RMSD to prioritize candidate targets.

Molecular Docking PyMOL Pdb

Education

Degrees, certifications, and relevant coursework

MEEGES Institute

12th Grade (CBSE), Higher Secondary (Science)

Grade: 88%

Completed 12th grade under the CBSE curriculum with a percentage of 88%.

N.V. Chinmaya Vidyalaya, Shegaon

10th Grade (CBSE), Secondary Education

Grade: 85%

Completed 10th grade under the CBSE curriculum with a percentage of 85%.

MIT World Peace University

Bachelor of Technology, Bioengineering

Grade: 8.46/10

Completed a Bachelor of Technology in Bioengineering with a CGPA of 8.46/10, focusing on bioinformatics, molecular modeling, and computational biology.