I am an MSc Bioinformatics student with a strong interest in computational biology and real-world data analysis. My experience includes working with genomic datasets, performing data visualization with Python and R, and developing small automation and analysis projects that turn complex biological data into actionable insights. I am passionate about bridging biology and computation, and I am currently seeking opportunities for thesis projects where I can apply my skills to solve meaningful biological problems. I enjoy building practical tools and visualizations that make data exploration intuitive, and I aim to continue growing as a computational biologist.
Visualized RNA binding protein signals alongside gene annotation data using Python, Matplotlib, and Seaborn. This project includes multiple versions of plots for deep genomic interpretation.
View on GitHubExtended genomic visualization with a multi‑panel figure combining scatter plots, bar charts, and heatmaps to analyze interactions between signals and annotations.
View on GitHubCreated a structured grid of line plots to compare patterns across different genomic datasets, showcasing advanced plotting and layout skills with Matplotlib.
View on GitHubA follow‑up visualization project in your genomic data series with notebooks and scripts demonstrating consistency in bioinformatics visual storytelling.
View on GitHubEmail: kinnarizala.me@gmail.com
GitHub: https://github.com/Kin-zala