Data visualization practitioner focused on clear, effective storytelling with data. I work primarily in R and ggplot2, with a background in clinical trials and pharmaceutical research. Currently exploring functional programming, tidy evaluation, and interactive dashboards with Shiny.

I participate in several community-driven visualization challenges to practice and refine my skills.

Weekly data visualization challenge from the R4DS community. Real-world datasets, focusing on wrangling and visualization skills.

Monthly challenge from Storytelling with Data. Each month features a new topic—from specific chart types to storytelling techniques.

Annual April event with daily prompts across five categories: comparisons, distributions, relationships, time series, and uncertainties.

Weekly challenge focused on redesigning and improving existing visualizations.

Interactive dashboards built with R Shiny, showcasing data analysis across different domains.

• Launch Curve Forecaster — Governance-first oncology launch planning with revenue-at-risk analysis (repo)
• Clinical Trial Forecaster — Trial duration prediction with validation-first methodology (repo)
• Pharma R&D Pipeline — Pharmaceutical research and development pipeline analysis (repo)
• Microsoft Financials — Financial metrics dashboard for Microsoft (repo)
• Apple ESG — Environmental, Social, and Governance analysis for Apple (repo)
• UK Train Operations — UK railway performance and operations analysis (repo)
• Meteorite Landings — Global meteorite landing data exploration and mapping (repo)

Data package providing episode ratings, character dialogues, and more from the Bob's Burgers TV show.

Quality Tolerance Limits visualization work for Risk-Based Quality Management in clinical trials.