Karen Soenen

Oceanographic Information System Associate

Falmouth, Massachusetts, United States
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Summary

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Senior
Karen Soenen is an Oceanographic Information System Associate with eight years of experience applying GIS and data management to multidisciplinary marine science projects. Based in Falmouth, MA and working at Woods Hole Oceanographic Institution since 2018, she focuses on connecting people and datasets to improve decision-making and deliver synergistic solutions. Her background spans academic research and industry GIS engineering, giving her a practical appreciation for both rigorous science and operational efficiency. She champions collaboration and project efficiency, using GIS as the bridge between domain experts and usable information products. Not obviously visible from job titles, she blends scientific curiosity with an information-systems mindset to turn complex oceanographic data into actionable insights.
code9 years of coding experience
job5 years of employment as a software developer
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Github Skills (20)

python8
qgis7
ecology7
gis6
geographical-information-system5
data-wrangling4
stable4
data-visualization3
visualization3
javascript3
data-management3
data-visualisation2
data-science2
webgl2
data-analysis2

Programming languages (6)

C++MakefileJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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k-rns/workshop_data_reuse

Sep 2021 - Nov 2021

Data reuse saves time and accelerates the pace of scientific discovery. But how do you actually reuse the data that you put in repositories? This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science specific repo's and programs and pulling these data into the Python environment.
Contributions:1 release, 130 commits, 1 PR in 2 months
pythonbco-dmodata-reuseerddapocean-sciences
k-rns/2020-10-26-WHOI-Data

Oct 2020 - Sep 2021

4 half days online workshops for WHOI staff, data management and python
Contributions:77 pushes, 2 branches in 11 months
data-managementpythonstaffdata-science
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