Dana Paige Seidel
Data Scientist
Berkeley, California, United States
Summary
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RockstarDana Seidel is a Sr. Staff Data Scientist with a decade of experience applying data science to product and decision-making at automotive and agtech companies, currently working at Rivian and Volkswagen Group Technologies in Oakland. She holds a PhD from UC Berkeley in Environmental Science, Policy & Management and blends rigorous academic research with production ML and analytics. At Rivian she progressed through senior staff roles in Decision Science, driving data-driven strategies for sustainable transportation. An active open-source contributor and former RStudio intern, she made notable contributions to ggplot2—improving secondary axis support for date/time scales—helping advance visualization for time-based data. Her background in ecology and spatial analysis informs a specialty in translating complex environmental and temporal datasets into actionable insights. Colleagues describe her as a pragmatic scientist who pairs careful measurement with clean, reproducible tooling.
10 years of coding experience
Stackoverflow
301reputation
12kreached
5answers
0questions
Github Skills (10)
data-visualizations10
data-visualization10
data-visualisation10
r10
spatial6
trendline6
time-series6
dplyr6
ggplot6
tidyverse6
Programming languages (6)
Github contributions (5)
tidyverse/ggplot2
Aug 2018 - Apr 2019
An implementation of the Grammar of Graphics in R
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 39 PRs, 18 pushes in 8 months
Contributions summary:Dana primarily contributed to the `ggplot2` library by implementing and refining the secondary axis functionality for date, time, and datetime scales. This involved adding features like `sec_axis` and `dup_axis` and ensuring correct behavior with transformations. The user also updated visual tests, adapting them to changes in dependencies like vdiffr and scales, which ensured the library's visual outputs remained consistent and correct. These contributions directly enhance the visualization capabilities of the library, particularly regarding time-based data.
graphicrvisualisationdata-visualisation
dpseidel/MovEco-R-Workshop
Nov 2017 - Feb 2018
Scripts and Code for the Movement Ecology & R Workshop. Hong Kong University Jan3-12, 2018
Contributions:166 commits, 2 PRs, 89 pushes in 3 months
kong
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