My name is Zehn Sharif, and I hold a degree in Pharmacology. During my dissertation, I utilised R to perform logistic and linear regression analyses to investigate whether biomarker GlycA levels could predict improved treatment outcomes for patients with rheumatoid arthritis undergoing methotrexate therapy. This project not only strengthened my statistical and programming skills but also deepened my understanding of applying data science to real-world healthcare challenges. I am currently a taught masters student in Data Science at the University of Birmingham, where I am currently learning SQL and Python.

I am motivated to volunteer with DDSG Solve because I am passionate about using data-driven approaches to address complex problems and make a meaningful impact. I am eager to apply my background in bioinformatics and my proficiency in data analysis to support projects that drive innovation and positive change. I particularly enjoy working on projects that involve predictive modeling, health analytics, and interdisciplinary collaboration, as they allow me to leverage my technical skills while contributing to solutions that benefit communities.