Experienced in developing web applications using HTML, CSS, PHP, CodeIgniter, and MySQL. Familiar with UI/UX design using Figma and have experience with sentiment analysis using Python. Committed to continuous learning and self-improvement
Here some of my skills, but I’m always looking to add more skills in the future.
HTML
CSS
Codeigniter
MySQL
PHP
Figma
Sentiment Analysis
Streamlit
Figma
Here's some of my projects
Collaborated with friends to design a smartphone app introducing the Valorant game. The app offers a fresh experience for users to explore the game while serving as a guide for both new and experienced players. Features include the latest news, weapon details, hero information, and map overviews. Check out the project prototype at the provided link.
| Year: | 2022 |
| Keyword: | Figma, UI/UX Design |
I did this project during my internship at a catering company. This project was built using PHP with CodeIgniter framework. My friend and I created a website to expand the caterer's marketing reach, so that it can be accessed by more people. This website displays information related to menus, prices, and catering services online. In addition, we also built a catering order data management system. This system allows catering admins to easily manage data such as receiving, processing, and tracking catering customer orders.
| Year: | 2022 |
| Keyword: | PHP, Codeigniter3, MySQL, JQuery, JavaScript |
This project is based on my final college research on sentiment analysis using the Multinomial Naive Bayes algorithm and SMOTE (Synthetic Minority Oversampling Technique). The dataset includes tweets about the 2024 presidential candidates from Twitter (X). The research involved stages such as data collection, preprocessing, and classification. Results showed that applying SMOTE to handle imbalanced data improved the algorithm's classification accuracy by 6-20%, demonstrating its effectiveness in sentiment analysis tasks.
| Year: | 2022-2023 |
| Keyword: | Python, Streamlit, SQLite3 |
Here are some of my certificates that I received from online training or courses.
