Available for Opportunities
Data Practitioner &
Technical Specialist
Data practitioner with a practical foundation in data analysis, statistics, and visualization. Experienced in utilizing SQL, Python, Excel, and Power BI to clean datasets, uncover insights, and construct clear dashboards. Possesses hands-on technical skills in hardware maintenance, OS installation (Windows & Linux), software setup, as well as web server management using cPanel, hosting, and WordPress CMS. Detail-oriented and continuously learning to apply technical skills in a business setting.
Mobile Legends Sentiment Analysis
Python, Pandas, TensorFlow, Scikit-learn, TF-IDF
- Collected and preprocessed a dataset of 50,000 Mobile Legends user reviews from Google Play Store using web scraping.
- Cleaned and standardized Indonesian text data using Python, Pandas, regex, and Sastrawi for case folding, slang normalization, and stopword removal.
- Performed binary sentiment classification (positive and negative) using Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction.
- Built, trained, and evaluated a Feedforward Neural Network (FNN/MLP) model using TensorFlow/Keras, achieving an accuracy of 83.3% and ROC-AUC of 0.852.
Motorcycle Accessories Administrative System
Java NetBeans, MySQL, XAMPP, UML
- Collaborated in a team of 5 to design and develop a desktop-based administrative system for WV Jangkrik motorcycle shop.
- Modeled software requirements using UML diagrams (Use Case, Activity, Sequence, and Class Diagrams).
- Implemented inventory tracking, purchasing, and transaction features using Java NetBeans integrated with MySQL database via XAMPP.
- Automated reporting workflows for stock management, employee data, and payment logs.
Anime Streaming & Download Platform
WordPress, cPanel, Web Hosting, CMS
- Developed and customized a dynamic streaming and download website for anime content using WordPress hosted via cPanel.
- Implemented custom taxonomy and filtering features allowing users to sort content by release season, year, and ratings.
- Structured media database and categories to streamline content indexing, search functionality, and download links.
- Optimized site layout, navigation, and user interface for an intuitive and mobile-responsive viewing experience.
Educational Trends Forecasting
Python, Pandas, ARIMA, SARIMAX
- Developed forecasting models using statistical and machine learning approaches (ARIMA, Prophet, and regression-based models) to analyze educational trends.
- Performed time series decomposition and feature engineering to capture seasonality and trends for improved prediction accuracy.