SOFTWARE: RStudio, ArcGIS Pro, Microsoft Word
SKILLS USED: Qualitative Data Visualization and Analysis, Analytical Research, Data Manipulation
An analysis project aimed to visualize what type of enviornments the endemic small ground finch and the introduced smooth-billed ani are spotted in most to identify the level of interaction between agricultural land, urbanization, and invasive areas. Doing so provides insights that may be beneficial to conservation groups worling to reduce avian decline in the Galapagos.
By observing an increase in bird sightings and decrease in human population between 2012 -2015 and a correlation analysis between land cover types and bird sightings, adding optimized building and materials for protected nesting sites in deciduous and evergren forest could be beneficial to preventing the decline in avian biodiversity among the inhabited islands of the Galapagos: Floreana, Santa Cruz, Isabela, and San Cristobal.
SOFTWARE: R Studio, Python, Google Sheets/Docs, Adobe Illustrator
SKILLS USED: Team Management/Collaboration, Polynomial/Linear Regression Analysis
A modeling project to simulate the cooling effect of sulfate aerosols injected into the stratosphere by volcanic eruptions, drawing from data on diverse geographic regions. The model aimed to quantify the potential cooling impact and ind an optimal sulfate concentration necessary to counteract global warming.
The findings from the modeling project caution against the implementation of sulfate injection into the stratosphere as a geoengineering strategy, emphasizing the overwhelming risks associated with such interventions in addressing climate change and difficulty in sustaining the optimal sulfate concentration found.
SOFTWARE: R Studio, Google Docs
SKILLS USED: Multivariable Linear Regression Analysis, Model Selection, Team Collaboration
A statistical analysis was conducted on the quality of red wine, focusing on physicochemical properties. Multiple linear regression and model selection techniques were used to identify the most influential factors affecting wine quality.
The analysis revealed that sulfates exhibited the strongest impact on the quality of wine among the variables considered. This finding highlights the significance of sulfates in determining the overall perceived quality of red wine, providing valuable insights for wine production and quality control processes.
