Projects

I bring strong proficiency in computational and data science tools essential for modern bioinformatics. I am skilled in programming with Python, R, SQL, and Bash, enabling efficient data processing, statistical analysis, and automation. My experience extends to containerization with Docker and Conda, ensuring reproducible workflows, and pipeline development using Snakemake and Nextflow for scalable and modular data processing. Additionally, I employ version control with Git to maintain organized and collaborative codebases. To support large-scale data handling, I have worked with Google Cloud Storage, implementing and optimizing cloud-based solutions for secure and efficient data management. Together, these skills allow me to develop robust, reproducible, and high-performance bioinformatics workflows.