About Me
An Informatics graduate from Universitas Nasional with a strong academic record and a diverse background in data analysis, software testing, and digital education.
Throughout my academic and professional journey, I have engaged in various roles—from data analytics at Zenius and machine learning at Bangkit Academy, to hands-on system testing (UAT) at Allo Bank and teaching foundational computing to young learners. This multidisciplinary experience has shaped my analytical mindset and attention to detail.
I am driven by a deep interest in technology's role in solving real-world problems and strive to contribute meaningful insights that align with organizational goals.
Experience
User Acceptance Tester
Allo Bank | 06/2025 - Present
- Conduct end-to-end system and regression testing.
- Design, execute, and document test cases based on BRD/FSD.
- Collaborate with cross-functional teams to resolve issues.
IT Specialist Support
Hyperspace | 11/2024 - 01/2025
- Configured and maintained server infrastructure.
- Developed and deployed object detection solutions using YOLO.
Coding Teacher (Part Time)
Golden Age Islamic School | 09/2023 - 06/2025
- Teaching computer basics and digital literacy to elementary school students in grades 1–6
- Introducing programming logic and computational thinking through interactive projects
- Developing engaging and age-appropriate learning materials to support practical activities
- Encouraging creativity and early interest in technology through a fun approach
Machine Learning Cohort
Bangkit Academy (Independent Study) | 08/2023 - 12/2023
- Gained hands-on skills in data analysis and predictive modeling.
- Led the development of the "CeriaKids" application for child growth monitoring.
Data Analytics
Zenius (Studi Independen Kampus Merdeka) | 2/2023 - 06/2023
- Specializing in data analysis with emphasis on practical skills and real-world applications
- Conducting data understanding and preprocessing on the Home Credit Default Risk project to ensure data quality
- pplying statistical techniques to prepare data for predictive modeling and extract actionable insights
Featured Projects
CeriaKids Application
A digital solution for child growth monitoring, developed as a capstone project at Bangkit Academy. This project combines technical expertise with social impact.
Classification Loan With Home Credit Default Risk
Predicting credit risk so that banks/companies/financial institutions can provide loans to customers in a targeted manner, thereby anticipating defaults.
Web Scraper MyAnimeList (Data Seiyuu & Anime)
This project is a web scraping script specifically designed to retrieve data from the MyAnimeList.net website. Its main purpose is to collect detailed information about voice actors and the anime they have performed in.
Analysis of the Correlation Between Seiyuu Popularity and Anime
An analysis to examine the relationship between the popularity of a voice actor and the popularity of the anime they star in, using data from MyAnimeList.
Bike Sharing Data Analysis
This project is an exploratory data analysis (EDA) on the Bike Sharing dataset. The main objective of this project is to understand the factors that influence the number of bicycle rentals and to discover interesting patterns in the data.
Traffic Sign Detection with YOLO
This project focuses on traffic sign detection using the YOLO (You Only Look Once) algorithm. The goal is to accurately identify and classify traffic signs in real-time.
Get In Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team. Feel free to reach out!
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