Lindsay Platt
Environmental Data Scientist
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolLindsay Platt is an environmental data scientist with a decade of experience turning complex water science into accessible, reproducible insights through data pipelines, visualization, and training. Currently at CUAHSI and formerly a lead data scientist at USGS, she builds automated workflows and web-based visualizations that make hydrologic data reusable for the public, policymakers, and researchers. She designs and teaches national-scale scientific computing curricula—her Introduction to R course has reached over 630 learners—bringing pedagogy and tooling together to accelerate research. With an MS in Freshwater and Marine Sciences and a BS in Biological Systems Engineering, she blends field-minded curiosity and engineering rigor with software-first practices. Beyond code, Lindsay draws on a background in coaching and outreach to communicate science clearly and spark engagement across diverse audiences. Her career reflects a quiet pivot from traditional field work to becoming a translator between high-quality water data and the people who need it.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Freshwater and Marine Sciences, Master of Science - MS, Freshwater and Marine Sciences at University of Wisconsin-MadisonBachelor of Science (B.S.), Biological Systems Engineering, 3.82, Bachelor of Science (B.S.), Biological Systems Engineering, 3.82 at Virginia Tech
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (150)
metadata10
weighted10
hydrology10
sample-data10
government-data10
r10
water10
resampling10
r-package10
carbon-emissions10
climate-change10
water-quality10
summaries9
pipeline9
points9
Programming languages (10)
Github contributions (5)
lindsaycarr/water-use
Nov 2016 - May 2018
Contributions:1 PR, 22 pushes, 1 branch in 1 year 5 months
waterdata-visualizationusgsvisualization
usgs-makerspace/forecast-noodle
Jan 2020 - Jan 2022
Illustrating how river forecasts change through time due to model uncertainty.
Contributions:11 PRs, 3 pushes, 2 branches in 2 years
riverdueforecastsuncertaintytime-series
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