Some of my programming languages that I know.
Some extra tools/frameworks/skills I'm familiar with.
Assisted 20+ students during lab with various questions addressing data acquisition, performance measurement and real world use of analytics. Hosted office hours designed for more of a one on one experience, helping cover any issues students may be having with the course and helped design and edit course material.
Continued teaching role as a academic intern helping students with coursework during office hours for an upper division course focused on modeling and analysis.
Currently working towards creating new insights and data visualizations using NBA data using R and publishing data using Shiny Apps for professor Gaston Sanchez - Focus on visualizing team trends by analyzing NBA shot chart data and Game Log data from 2009-2020 - Created an efficient algorithm for generating NBA Heat Map visualizations
Built a fish quality prediction model, using a random forest decision tree algorithm with data provided by FishTag - Performed several unsupervised learning methods including PCA to help reduce the dimensionality of the data and provide new insights - Helped highlight the necessary features needed for the GFI’s Pisces database project