
Analyst
out of
Haslam


Audit Analyst I
Current Position,
Started in July 2024
Business Analytics
The world of business analytics is more than just a major to me. I’m passionate about putting in the work to get outstanding findings—it’s like solving thrilling puzzles with real-world impact
Finance
Finance is essential to all business activities. I enjoy budgeting, investing, and managing personal finances, finding fulfillment in understanding money. Combining finance with an analytical background promises deep understanding and success.
R, Tableau, Excel, & SQL
Throughout my coursework, I’ve had the pleasure of honing these skills. This diverse combination forms a robust analytical foundation to drive my future career forward.
Machine Learning & Python
In the pursuit of my future goals, I am dedicated to mastering the intricacies of machine learning algorithms, refining statistical modeling techniques, and becoming proficient in Python programming.
QUICK BUDGET

Do you need to make a budget FAST?
Well I built just the thing for you…
Check out my budget app, made with R Shiny, to get your desired expenses, savings, and investment breakdown.
TABLEAU


Take a look and see my tableau dashboards!
Why book a Airbnb in West Asheville?
What does Kroger Coupon Usage look like in Atlanta?
View into these interactive dashboards I’ve made to find out.
BITCOIN
Want to know more about Time Series Analysis?
You can see the association between Google Trends “Bitcoin” searches and Bitcoin Price data. Made with time series methods in R shiny!

Unlocking the secrets of Tour De France Winners
What attributes are most optimal for a rider winning the Tour de France?
Navigating Capital Bikeshare Demand Drivers
What are the main drivers of bike demand?
Predicting Paychecks
Analyzing the Analytics Job Market
Can we accurately predict salaries for analytics jobs?
Vatiaion
Vacation Rental Predictions
Forecast the number of monthly reviews for the next year. Dec 2022 – Nov 2023
SQL
This is a created mock database for International Paper Company. This prototype will be a practical tool for International Paper’s business management and aid its future growth with data collection.
What I Learned:
- Conceptual (ERD) Model
- Logical Model
- CREATE, INSERT, & Queries with SELECT Code
- Data Dictionary

STEAM RECS
Are you bored of all the current Steam games in your library?
Check out the Game Recommendation App made with R shiny!
- Begin by inputting your favorite games.
- Specify how confidently you’d like the recommended games to match your preferences.
- Indicate your preference for the popularity level of the recommended games.
- Find your next game!

EXECUTIVE REPORTS
Learn more about what I recommend to Kroger’s Marketing Team or Shop HQ.
Enhancing my skills to better serve Kroger’s Marketing Team or Shop HQ involves crafting reports using the Inverted Pyramid structure. This approach prioritizes key recommendations upfront, followed by concise analyses explaining the rationale behind them.
Adapting to the audience’s needs, I aim to convey insights without technical jargon or complex visualizations, ensuring clarity and accessibility.
For detailed analysis using R, please refer to the reports available for download in the appendix.
Final Executive Summary for the UT’s Development Office
To better understand donation patterns in UT Alumni
The Development Office at UT is always interested in further increasing their knowledge of the donating habits of alumni. I developed both a predictive model and an understanding of the major drivers behind its predictions of If a alumni would donate something during 2023 (“Yes” vs. “No”).











































































