Bioinformatics graduate student at the University of Delaware with a BTech in Biotechnology from NIT Warangal. Specializing in computational biology and health-focused data science with hands-on experience in applying machine learning to child health outcome prediction, RNA-Seq analysis in gastric cancer, and genomic variant interpretation using functional scores. Experienced in leveraging UniProt for protein annotation in Parkinson’s Disease and performing comparative genomic analysis on RBP4 evolution. Proficient in Python, R, and statistical modeling to extract actionable insights from complex biological data. Open to opportunities in bioinformatics, genomics, and healthcare analytics across both research and industry.
Successfully completed a training-cum-internship program titled "Bioinformatics for Beginners" organized by BioXone Biosciences. Gained foundational knowledge and hands-on experience in core bioinformatics concepts and tools. Achieved an internship score of 4.0 out of 5, demonstrating strong performance in assignments, practical tasks, and evaluations.