Team Name | GoodMetrics | |
Track | Student track 1 - Data for Good | Climate Change + Vulnerable Populations | |
Use Case |
The “GoodMetrics” team is focused on leveraging data analytics to address the critical intersection of climate change and vulnerable populations. This track is particularly important as it allows us to explore how economically disadvantaged communities in the United States are disproportionately affected by climate change. By identifying and analyzing the top 50 counties facing the greatest economic challenges due to climate change, our team aims to provide valuable insights that could inform policy and help in the creation of targeted interventions to support these populations. |
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Technology | SAS Viya for Learners | |
Region |
North America SouthEast Europe |
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Team lead | Madalina Perevoznic(@madalina_p) | |
Team members |
Zeynah Gomez (@ZeynahG11 ) Albert Limani (@Albert2 ) Vincent Liang (@onlyvincent) |
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Social media handles |
Madalina - https://www.linkedin.com/in/madalinaperevoznic Zeynah - https://www.linkedin.com/in/zeynah-gomez |
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Is your team interested in participating in an interview? | Y | |
Optional: Expand on your technology expertise |
Madalina: phD student on Business models from the perspective of SDGs and hunan rights, self-learning SAS Viya, Python and SQL, with experience in statistics software. Zeynah: student majoring in software engineering (Java), learning Data Analytics and foundations, actively learning AI, AWS and programming languages, including C. Albert: currently doing MS in Accounting Data Analytics and Technologies, skilled in R, Python, and predictive modeling. Vincent: bachelor degree in Math and Statistics with strong background in Python, PowerShell, and Java, with a focus on data analytics and statistical modeling, bringing expertise in quantitative analysis and data visualization. |
Great work, @madalina_p + GoodData for Climate Change and Vulnerable Populations!
Your Team Profile is complete and looks great. Thank you for putting the correct tag – “ Student track 1 - Data for Good | Climate Change + Vulnerable Populations” so it’ll be easier to find and judge, when it’s time. And fun picture!
If you’re excited to learn more about the Hack before September 16th – including a sneak-peak of the use case – please see my post here: https://communities.sas.com/t5/SAS-Hacker-s-Hub/SAS-Hackathon-2024-Student-Track-Details/ba-p/941054
Good luck!
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