I’m a Bioinformatician and data science professiional passionate about transforming complex biological data into actionable insights. My work focuses on genomics, transcriptomics, and machine learning applications in life sciences, with a strong interest in bridging biology and AI to enable data-driven discoveries. I have worked on multiple projects, including GeneFix AI, an AI-powered platform for predictive genomics and mutation analysis; GenomeHouse, an integrated Python framework for genome data preprocessing, sequence alignment, and visualization; and Bio Data Hub, a centralized platform for storing, analyzing, and sharing omics datasets. My technical expertise includes Python, R, Biopython, Pandas, NumPy, Seaborn, Scikit-learn, TensorFlow, BLAST, NGS data analysis, and Git. I am particularly interested in cancer genomics, biomarker discovery, precision medicine, and computational biology.