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.
Technology
SAS Viya for Learners
Region
North America
SouthEast Europe
Team lead
Madalina Perevoznic(@madalina_p)
Team members
Zeynah Gomez (@ZeynahG11 )
Albert Limani (@Albert2 )
Vincent Liang (@onlyvincent)
Social media handles
Madalina - https://www.linkedin.com/in/madalinaperevoznic
Zeynah - https://www.linkedin.com/in/zeynah-gomez
Albert - https://www.linkedin.com/in/albertlimani
Vincent - https://www.linkedin.com/in/vincentliang0222
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.
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