Biostatistician

I hold a degree in Biology with additional training in data analysis, and I am currently pursuing a Master’s in Bioinformatics and Biostatistics, where I have strengthened my skills in programming and computational analysis applied to biological and scientific data. Throughout my studies, I discovered a strong passion for statistics and programming— initially through R, and more recently expanding my proficiency in Python. This combination of biological knowledge and technical expertise has equipped me with an analytical mindset, focused on problem-solving and rigorous data interpretation. Over the past year, I have worked extensively on projects involving statistical analysis and data visualisation, using tools such as ggplot2 and tidyverse, among others. While my professional experience in programming is still at an early stage, my commitment to continuous learning and my adaptability enable me to thrive in new technical environments and challenges. I am particularly eager to join a team where I can further develop my skills in data analysis and programming, contributing with my scientific background, attention to detail, and enthusiasm for technology and data-driven research.