Hello, I'm
Informatics Engineering student with a passion for Machine Learning and Data Analysis. Love to solve complex problems and create innovative solutions using data.
Projects
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Certificates
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Contributions
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Years Learning
About Me
I am an Informatics Engineering undergraduate with a strong passion for Machine Learning and Data Analysis. I enjoy solving real-world problems through data-driven approaches and building intelligent systems. I have hands-on experience from various projects, and I’m continuously developing my skills in programming, statistical analysis, and model development. I’m a fast learner, eager to explore emerging trends in Artificial Intelligence, and always open to internship or collaboration opportunities to further enhance my practical experience.
- Python (Advanced)
- SQL (Intermediate)
- Data Analysis & Visualization (Intermediate)
- JavaScript, HTML, CSS (Basic)
- Git & GitHub (Intermediate)
My Projects
Skinthesia Web App
A web app for personalized skincare recommendations using ML-based multi-label classification and sentiment analysis, with ETL pipelines and TensorFlow.js deployment.
DRQN Stock Trading
A Deep Reinforcement Learning project using DRQN with LSTM to predict trading decisions (buy, sell, hold) for Indonesia's IDX Shariah index, trained on historical daily price data (2020–2025).
Goova Event Finder
A user-friendly app for discovering nearby events, including seminars, workshops, concerts, and social gatherings.
DCT Steganography App
A simple web app for embedding and extracting secret messages in images using Discrete Cosine Transform (DCT), built with Flask, HTML, CSS, and JavaScript.
MamFoods App
An Android app for ordering food from local restaurants, enhancing convenience and boosting small culinary businesses through a digital platform.
Streamlit Data Dashboard
A Streamlit-based web dashboard for visualizing insights from processed datasets, built with Python and requiring day_clean.csv and hour_clean.csv.
Drowsiness Detection System
A computer vision model using OpenCV and dlib to detect driver drowsiness in real-time via facial landmark analysis.
Let's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
