My Portfolio
Greetings! Explore a collection of significant projects I undertook during my academic journey at the University of Tennessee, Knoxville. These projects serve as a testament to my competencies and knowledge in the field. Whether it's crafting Tableau visualizations or developing applications, I am proficient and open to learning as a student of data analytics.
University of Tennessee Alumni Donors
I developed an in-depth data analysis of the University of Tennessee Alumni donations by identifying critical influencing factors. I leveraged a dataset containing over 55 different factors and over 100,000 data entries. Using R-Studio, I created and implemented a predictive model that achieved 95.01% accuracy in forecasting Alumni donations narrowing down my recommendations to four potential targets. Then, I used Tableau to create visualizations of the results.
Interactive Movie Recommendation Application
The following website serves as an application designed to unveil "hidden gem" movies for users. This application was meticulously crafted using R Shiny and incorporates a vast dataset comprising of over 50,000 entries. The data underwent a rigorous process of cleaning, manipulation, and transformation to ensure a seamless user experience.
The application operates by generating movie recommendations based on the user's selections, including their chosen movies, the desired number of recommendations, minimum confidence level, popularity threshold, and sorting preferences.
Should you encounter an error notification while using the application, it indicates that there are no recommendations available for the chosen parameters. In such cases, I recommend either adding more movies to your selection, lowering the confidence threshold, or increasing the popularity threshold to potentially reveal suitable movie suggestions.
Airline Tableau Visualizations
Here are a set of Tableau data visualizations that examine airline data sourced from 2019. To prepare this data for Tableau, it underwent cleaning and transformation in R-Studio and Excel. The subsequent presentation offers a thorough summary of insights derived from my analysis.
Interactive Australian Tourism Application
I developed an interactive application that presents time series plots depicting tourism trends in Australia, categorized by region and trip purpose. The primary objective of this application was to enable users to examine historical trends and make precise forecasts for future events. It was crafted following an analysis of more than 50,000 data entries using R-Studio and built using Shiny R.