• Developing an NLP project to automate classification of game and sporting event reviews into relevantdepartments, streamlining the feedback process and improving operational efficiency• Conduct data analysis using Python, including data pre-processing with Pandas and Time series analysis with statsmodels to analyze trends in ticket sales over time• Developed KPIs and custom DAX functions in PowerBI to track revenue metrics and ticket sales. Presented findings to stakeholders, investors, and donors alongside manager

* Worked as a Student Assistant at South Florida Athletics, where I addressed and troubleshot ticketing and payment issues using Ticketmaster platform and ticketing data.* Additional, I coordinated with high school recruits and team guests during home football games to ensure a seamless experience for all stakeholders.

* As an elected Senator at the University of South Florida (USF), I chair the ITMC Committee, where I work towards bills to secure funding and for regular maintenance for advanced computer science lab equipment and research grants to enhance tech club and SG office facilities with new servers, development tools, and high-performance computing clusters. * Moreover, I actively contribute as a member of the Policy, Title 7, & Relations Committee, focusing on election commission codes and the policies governing Student Government and USF Clubs. I also assist clubs in executive management and fundraising preparations during the Semester CAFC Budget Allocation meetings.

Worked with Dr. Hristo Kostadinov on a mathematical model for a generalized approach to find parity matrices for Double Error Correctable Codes. This work aimed to correct errors from simultaneous two-bit errors during data transmission. Presented research findings at the Institute of Mathematics and Informatics symposium.

* In the summer 2020, I delved into programming with Python and undertook a team project focused on exploring spatial objects using Python. * One significant aspect of my project involved tackling Kepler's equation, particularly looking at its solution using Newton's method. To enhance the efficiency and accuracy of our computations, we implemented John Machin's clever starting point approach. This method significantly improved our solution process, especially for cases with larger eccentricities.