Projects brief summary

My Programming Projects

• ESPN Fantasy Player Data Analyzer

  The ESPN Fantasy Player Data Analyzer is a Python project designed to enhance fantasy sports enthusiasts' decision-making process by analyzing player statistics stored in an Excel file. By leveraging customizable game style preferences, the program calculates ratios between various performance categories, providing users with a sorted list of players ranked according to their suitability for the user's fantasy strategy. This project showcases proficiency in Python programming, data manipulation, and algorithmic thinking, demonstrating the ability to develop practical solutions for sports analytics enthusiasts.

• Admission Platform for the University

  The Student Enrollment System is a React-based web platform developed to streamline and revolutionize the academic planning and course enrollment processes at the University of Puerto Rico - Mayagüez. By offering a user-friendly interface, comprehensive course information, and dynamic planning tools, this innovative system empowers students to make informed decisions about their academic journey. It not only simplifies semester scheduling but also provides tailored academic advice, aiming to enhance the overall academic experience by reducing manual advising and fostering student autonomy and success.

• Trip Planner using Foursquare API

  The Python-based Trip Planner harnesses the power of the Foursquare API to revolutionize travel planning by generating personalized trip itineraries based on user-inputted city and duration parameters. This innovative project automates the process of crafting a tailored travel plan, offering users recommendations for attractions, restaurants, and activities to optimize their itinerary. By seamlessly integrating API data, the Trip Planner enhances the efficiency and enjoyment of travel experiences, showcasing proficiency in Python programming, API utilization, and algorithmic design, while providing a practical solution for modern travelers seeking convenience and customization in trip planning.

• File Organizer

  The File Organizer project, implemented in Python, efficiently organizes files by automating the sorting process. Leveraging the os and shutil libraries, it systematically moves zip archive files from the user's Downloads directory to a designated destination directory, facilitating streamlined file management. By seamlessly executing file transfers based on specific file extensions, such as .rar, this project enhances organizational efficiency and declutters the user's workspace. This demonstrates proficiency in Python programming, file system manipulation, and automation, offering a practical solution for maintaining a tidy digital environment.

• Song Scoring System using Spotify Web API

  The Song Scoring System, crafted using Python and leveraging the Spotify Web API, introduces an innovative approach to engaging with music by allowing users to interactively score song verses on a scale of 1 to 10 via a web-based player. By integrating real-time data from Spotify and implementing a user-friendly interface, this project empowers music enthusiasts to provide feedback and evaluate individual song components dynamically. This demonstrates proficiency in Python programming, API integration, and web development, offering a novel platform for collaborative music assessment and exploration.