I'm an undergraduate student at Vanderbilt University passionate about using data to solve real-world problems. My interests lie in drawing actionable insights from big data to help meet client needs. I'm currently leading multiple projects for The Weather Company as well as building out personal data science projects to deepen my understanding.
- Analyzing correlating factors of user engagement on Weather Channel content
- An algorithm to improve the Vanderbilt course selection process, focused on maximizing credit hour oppurtunity for students
- Developing a web scrapper to extract race director contacts and event details to maximize efficiency in clientele search process
- Learning more about machine learning and predicitive modeling
- Python (NumPy, pandas, matplotlib, seaborn, Plotly, selenium, vPython, etc...)
- R (tidyverse, dplyr, haven, highcharts)
- SQL
- SAS
- Java
- Currently exploring: Tableau, Microsoft Power tools, and more!
- Translate Weather Channel data into tangible, digestable insights
- Wrap up open ended personal projects and improve functionality
- Start new exciting projects for clients
- LinkedIn: https://www.linkedin.com/in/parker-pape/
- Email: [email protected]
Thanks for stopping by!