Data scientist with strengths in research, statistical analysis and programming
Currently working in the pharmaceutical industry and with a background in academia. I love to use data to explore and test ideas. Statistical analysis and programming both became significant interests through my academic work and — in 2020 — I decided to pursue a career in data science. I have a wealth of experience in leading data-oriented projects from conception, design and execution, through to analysis, interpretation and communication.
Extensive professional experience with R and SAS (incl. SQL), plus hobbyist experience other programming languages including Java, Kotlin, Python and more
Advanced statistical methods including mixed effects models and survival analysis
Roles in planning, leadership, supervision and teaching
Presentation of results and insights from data-oriented projects
Tendency to show initiative, seek creative approaches when problem solving and apply critical thinking to bring clarity to complex matters with a focus on generating solutions