Nikhil Rupnawar – Unlocking the Secrets of Life: Meet the Bioinformatics Guru Shaping the Future of Drug Discovery!

Nikhil Rupnawar

About:

Enthusiastic and highly motivated Master of Bioinformatics graduate with a strong foundation in computational biology and bioinformatics. Passionate about leveraging analytical skills, programming expertise, and biological knowledge to contribute to cutting-edge research in genomics, proteomics, and drug discovery. Skilled in integrating data science methodologies to solve complex biological problems and develop innovative bioinformatics solutions.

Education

Bharti Vidyapeeth, Pune, Maharashtra

Degree: Master’s Degree in Bioinformatics ([hidden]) 2022-2024

College: Rajiv Gandhi Information Technology and Biotechnology

University of Pune, Maharashtra

Degree: Bachelor’s Degree in Microbiology ([hidden]) 2018-2021

College: Sinhgad College Of Science, Pune (Sinhgad Institutes)

Technical Skills

Programming Languages: Python, R, JAVA, C, Machine Learning, Linux

Bioinformatics Data Analysis: Sequence alignment, Phylogenetics, Gene expression analysis, Molecular Docking

Data analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn

Databases: MySQL, GenBank, Ensembl, PDB, UniProt, PubChem

Bioinformatics Tools

Autodock, Discovery Studio, GROMACS, Modeller

BLAST, ClustalOmega, Galaxy, UCSF Chimera, NGS Data Analysis, RNA-Seq Analysis

Projects

Project Title: Predictive Modeling of Hepatotoxicity Using Machine Learning Algorithms

Key Technologies: Python, Databases, Machine Learning, RDKit

Developed a predictive model to assess the hepatotoxicity (liver toxicity) of various drugs using ML techniques, including a Random Forest Classifier. Processed cheminformatics data from databases such as Livertox, PubChem, and Drug-Induced Liver Injury (DILI). Integrated molecular descriptors to enhance the predictive accuracy of the model. Demonstrated a comprehensive approach to combining cheminformatics and machine learning for practical applications in drug safety assessment.

Project Title: In Silico Analysis of Protein-Ligand Interactions

Key Technologies: Autodock, Autodock Vina, Discovery Studio, PyMOL

Conducted molecular docking studies to evaluate binding affinities of potential drug candidates. Analyzed protein-ligand complexes using visualization tools to identify key interactions. Applied computational techniques to support drug discovery efforts in targeting specific disease pathways.

Certifications

Python 101 For Data Science (offered by IBM)

Introduction to Genomic Data Science (EdX)

Skills

Python, R, JAVA, C, Machine Learning, Linux, Bioinformatics Data Analysis, Data Analysis, Data Visualization, MySQL, GenBank, Pandas, NumPy, Matplotlib, Seaborn, Autodock, GROMACS, BLAST, Galaxy

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Cover Letter:

Nikhil Rupnawar

LinkedIn: [[hidden]]([hidden])
GitHub: [[hidden]]([hidden])
Date: 12/02/2025

# Medgenome

Dear sir/madam,
# I am writing to express my interest in the Position of Applications Bioinformatics Intern role at Ultima Genomics, as advertised. With a Master’s Degree in Bioinformatics from Bharti Vidyapeeth Pune and a strong foundation in programming, data analysis, and machine learning, I am eager to contribute to your team. My educational background, combined with hands-on experience in bioinformatics tools and data science, makes me a strong candidate for this position.
During my academic career, I developed proficiency in Python, R, and several data analysis libraries such as Pandas, NumPy, and Matplotlib. I have applied these skills in a variety of projects, including my master’s project where I developed a predictive model to assess the hepatotoxicity of various drugs. This involved integrating data from Livertox, PubChem, and the Drug-Induced Liver Injury (DILI) database, demonstrating my ability to handle complex datasets and apply machine learning algorithms like Random Forest Classifier to solve real-world problems.
 I am confident that my technical skills, coupled with my passion for bioinformatics and data science, align well with the needs of your team.
I am excited about the opportunity to contribute to Ultima Genomics and would love to discuss how my skills and experiences can add value to your projects. Thank you for considering my application. I look forward to the possibility of contributing to your team and would welcome the opportunity for an interview at your convenience.
Sincerely,
Nikhil Rupnawar