Fiona Donovan

I’m a data analyst with a strong foundation in statistical modeling, data visualization, and machine learning. I hold a Master’s in Data Science from the University of Texas at Austin and have hands-on experience analyzing complex datasets using Python, R, and SQL. My work combines analytical precision with clear, actionable insights—whether building predictive models, cleaning and structuring messy data, or creating intuitive dashboards. I’m skilled at translating raw data into meaningful stories that drive decision-making, and I pride myself on being detail-oriented, resourceful, and efficient with time management.

At UCLA, I worked in a research setting where I managed and analyzed behavioral and clinical data to support evidence-based studies. I gained experience in experimental design, data cleaning, and statistical analysis using R and SPSS, and contributed to interpreting results for publication and presentations. My role required strong attention to detail, collaboration with multidisciplinary teams, and the ability to translate complex data into clear, meaningful insights.

I hold a Master’s degree in Data Science from the University of Texas at Austin, where I focused on statistical modeling, machine learning, and data visualization. I also earned a Bachelor of Science in Psychobiology from the University of California, Los Angeles (UCLA), which provided a strong foundation in research methods, experimental design, and quantitative analysis.