Third semester student at PENS Surabaya — Applied Data Science. Passionate about web development, artificial intelligence, and turning raw data into meaningful insights. Building responsive interfaces, learning ML algorithms, and exploring data visualization.
Prediction of domestic tourist trips using Holt-Winters Exponential Smoothing based on BPS data 2020–2024, including trend analysis, seasonal patterns, and result visualization.
Python-based email management system using OOP — supports account creation, deletion, and updating with admin access. Data managed in CSV via Pandas with format validation.
Analysis of Indonesia's road data in 2023 using multiple linear regression, based on data from PUPR Ministry and BPS. Identifies key factors affecting road conditions nationwide.