- Managed data pipelines that utilized Google Cloud Platform to deposit quantitative survey data into a central database (BigQuery), and built interactive web applications for exploration and analysis (Python + Streamlit), resulting in 70-80% reductions in time spent creating reports.- Developed Bayesian regression models (PyMC, Stan) for the analysis of novel experiments, giving experimenters tools that are custom-tailored to their needs and leading to better decision making.-Mentored junior staff on statistical principles, data visualization, and experimental design. Provided cross-functional consulting, peer review, and advanced data analysis.

- Worked cross-functionally with scientists, product developers, and project management to design and execute research initiatives focused on survey and perceptual data. Also responsible for data analysis, visualization, and communication of findings to technical and non-technical audiences.- Developed applications in R + R-Shiny that utilized clustering algorithms, factor analyses, and multivariate regression techniques to help summarize and enrich understanding of complex datasets.

Teaching assistant for undergraduate statistics course, including teaching students how to program in R.

Led a series of perceptual experiments designed to gain end-user input on quality benchmarks.

Led a series of perceptual experiments designed to answer questions about specific product features.