[{"project_name":"AGISS: A Web-based Inventory and Sales Monitoring System for AG Florendo Beverage Distributor","year":"2023","description":"Spearheaded the development of a web-based inventory and sales monitoring system with integrated online ordering capabilities for wholesale clients. Established standardized backend procedures for efficient database CRUD operations, enabling fast development of key application features. Designed and implemented key features including the home dashboard, order details, storefront, cart, order history, notifications, and report generation, providing a user-friendly interface for effective inventory and sales management. Crafted a streamlined process for handling customer orders, introducing a dedicated section for quick access to order details and enabling actions such as Accept orders, Dispatch orders, etc."},{"project_name":"Determining Disaster Location and Severity Through Sentiment Analysis of Philippine Typhoon Related Tweets","year":"2022","description":"Orchestrated a project focused on evaluating the severity of typhoons in the Philippines by leading the implementation of sentiment analysis on Twitter data. Applied advanced natural language processing techniques to dissect sentiments expressed in tweets, offering valuable insights into the impact of the typhoon on affected areas. Engineered an algorithm utilizing Twitter geolocation feature to pinpoint the origin of tweets, ensuring precise regional assessments. Implemented an alternative approach for cases where geolocation data was unavailable, leveraging tweet content for relevant information extraction."},{"project_name":"Mapping and Predicting Crime Prone Regions in the Philippines","year":"2022","description":"Spearheaded a project on training and testing a machine learning algorithm for text classification to predict crime mentioned in tweets. Innovatively designed and implemented an algorithm leveraging techniques including Naive Bayes, Support Vector Machine, and Logistic Regression. Conducted thorough preprocessing and cleaning of a crime-related tweet dataset, achieving an impressive accuracy rate of 89%."},{"project_name":"RadQuiz","year":"2023","description":"Simple quiz application with questions related to Rad Tech Deployed using GitHub Pages"},{"project_name":"Todo Application","year":"2023","description":"This simple To-Do app allows users to create an account, log in, add tasks, mark tasks as completed, and delete tasks. It features basic authentication using JSON Web Tokens (JWT) for user sessions. Application was built to experiment with Docker."},{"project_name":"Paste.It","year":"2023","description":"A very simple web application for removing formatting on copied text. Built to try out GitHub Pages."}]