Biotechnology Graduate with a growing interest in Bioinformatics, Computational Biology, Computational Drug Discovery, Biomedical Data Science, and Machine Learning for Life Sciences.

My work focuses on applying computational methods, data-driven analysis, and artificial intelligence to biological research, disease understanding, drug discovery, and bioprocess optimization. Through research-oriented projects, I explore how biological data can be transformed into meaningful scientific insights using modern computational tools.

• Bioinformatics
• Computational Biology
• Computational Drug Discovery
• Molecular Docking & Virtual Screening
• Biomedical Data Science
• Disease Biomarker Discovery
• Precision Medicine
• Multi-Omics Data Analysis
• Bioprocess Engineering
• Artificial Intelligence for Biological Systems

• Python for Scientific Computing
• Machine Learning for Biomedical Data
• Biological Data Visualization
• Molecular Docking Workflows
• Biomedical Dataset Analysis
• Drug Discovery Pipelines
• Fermentation Process Analytics
• Research-Oriented Data Science
• Reproducible Computational Workflows

Virtual screening workflow evaluating phytochemicals against the SARS-CoV-2 main protease using computational docking and candidate ranking strategies.

Machine learning workflow for Parkinson's disease classification using biomedical voice measurements, exploratory analysis, visualization, and model evaluation.

Data-driven machine learning workflow for fermentation process analysis, yield prediction, and process optimization.

Computational pipeline for ligand screening, docking analysis, candidate prioritization, and virtual drug discovery workflows.

Machine learning-based analytical workflow for identifying potential disease biomarkers from biological datasets.

Collection of bioinformatics utilities for DNA sequence analysis, FASTA parsing, mutation detection, sequence statistics, and protein translation.

B.Tech Biotechnology

In Silico Molecular Docking and Virtual Screening for Identification of Potential Drug Candidates

• Molecular Docking & Virtual Screening
• Computational Drug Discovery
• Biomedical Machine Learning
• Disease Biomarker Analysis
• Biological Data Mining
• Precision Medicine
• Fermentation & Bioprocess Analytics
• Scientific Computing for Life Sciences

• Computational Drug Discovery
• Translational Bioinformatics
• Multi-Omics Data Analysis
• Biomedical Artificial Intelligence
• Computational Systems Biology
• Precision Medicine
• Research & Development
• Academic and Industrial Bioinformatics

ORCID: https://orcid.org/0009-0008-1028-6010

"Exploring the intersection of biology, computation, and data-driven discovery."