MSc Biostatistics student specializing in real-world data (RWD) and epidemiological research, with hands-on experience in observational study design and statistical modeling. Proficient in R, SQL, and Git, with strong expertise in regression, longitudinal analysis, and causal inference. Experienced in cohort definition, bias-aware study design, and developing reproducible analysis pipelines to support clinical research.
Interested in leveraging EHR and claims data to generate real-world evidence that informs clinical development and drug strategy.