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title: FIXME | ||
title: Learner Profiles | ||
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This is a placeholder file. Please add content here. | ||
## Saul R. Panel | ||
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#### Profile | ||
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Saul R. Panel is a 1st-year PhD student who wants to work on modeling the US | ||
energy system. Until recently they were working at a nonprofit which paid for a | ||
commercial energy data subscription. Now that they're in school, they have lost | ||
access to that data. They want to build a web portal that shows people the | ||
effects of different local policy decisions on their energy bills. | ||
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They want to use public data to do this, but the constellation of different | ||
open datasets in different formats is overwhelming and confusing compared to | ||
the commercial dataset which provided a simple interface for getting the data | ||
into an analysis-ready form. | ||
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Some folks in their lab have done a lot of policy modeling in Python. Saul is | ||
just starting out, but has learned the basics of Python from their coworkers in | ||
the past few months. They're wondering how to connect the publicly available | ||
data into the policy models from the lab so the web portal can access model | ||
outputs. | ||
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#### Background knowledge and skills: | ||
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Has energy domain knowledge and experience working with commercial models | ||
Has used Python and Pandas to write some simple data-processing scripts | ||
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#### Goals: | ||
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Work with openly licensed data instead of commercially provided and licensed data |