Informatics student at Universitas Andalas, passionate about artificial intelligence, machine learning, and intelligent software development. I enjoy building systems that can learn from data, solve real-world problems, and create meaningful impact through technology.
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I am an Informatics student at Universitas Andalas with
a strong passion for artificial intelligence, machine learning,
and intelligent software development. Throughout my academic
journey, I have been actively involved in building projects
that combine software engineering, data analysis, and AI-driven
solutions to solve real-world challenges.
My experience includes developing a financial management system
using Laravel, building a speech emotion classification model
using MFCC feature extraction and Artificial Neural Networks,
implementing a big data pipeline for customer churn prediction,
creating responsive web platforms for student organizations,
and developing anomaly detection models for ECG time-series
data using LSTM Autoencoder.
I enjoy exploring how data, algorithms, and technology can
work together to create meaningful impact. I am constantly
learning new tools, improving my technical skills, and
challenging myself to build innovative solutions in the
fields of AI, machine learning, and software engineering.
PHP
Python
JavaScript
Machine Learning
Deep Learning
MySQL
Data VisualizationContributed to internal organizational development, team coordination, and member engagement activities.
Managed communication, partnerships, and public engagement to support one of the faculty’s technology events.
Led operational planning, team management, and event execution while ensuring coordination across multiple divisions.
Developed teamwork, communication, and strategic decision-making through competitive esports collaboration.
A personal financial management web application designed to help users track income, expenses, and financial activities efficiently.
Developed a speech emotion classification system using MFCC feature extraction and Artificial Neural Networks to recognize emotional patterns.
End-to-end big data analytics project for predicting customer churn in the telecommunications industry.
Developed a responsive organizational website for HMIF using Bootstrap, focusing on user interface design, information accessibility, and responsive web experience.
Built a time-series anomaly detection model for ECG signals using LSTM Autoencoder architecture.
