With a 3.87 GPA, I am an undergraduate student in my seventh semester in the Information Systems department at Universitas Dharma Andalas. Artificial intelligence and machine learning are topics that I am really interested in and have a solid understanding of. Natural language processing, deep learning, machine learning, and TensorFlow frameworks are among the capabilities I possess. My proficiency in developing projects that employ state-of-the-art algorithms to address real-world issues, including hoax detection systems, has been greatly enhanced by programs like Bangkit Academy and MSIB. In the thesis that I am working on this semester, I'm also researching and developing a system that uses tsunami evacuation prediction models.
A comprehensive overview of my technical proficiencies and professional capabilities
PT Dicoding Akademi Indonesia
Developed HOFE (Hoax Detection For Everyone), a Capstone project that utilized a Recurrent Neural Network (RNN) Machine Learning model to effectively detect hoaxes
Achieved 98% accuracy in hoax detection, demonstrating the model's high effectiveness in classifying information with minimal error
Completed the project with a team evaluation score of 93 and an individual score of 96.1, reflecting strong mastery of the subject matter
Graduated with the title Distinction Graduate, based on overall performance and evaluation results
Kampus Merdeka
Participated in the Independent Study Internship Program (MSIB) by Kampus Merdeka
Enhanced practical skills through real-world project experiences
Successfully completed and obtained certification for independent study
Hoax Detection For Everyone
Harness the power of AI to separate fact from fiction in real-time with HOFE. This innovative project empowers users to identify misinformation through advanced machine learning algorithms. By analyzing patterns in language and sources, HOFE provides actionable insights to enhance critical thinking in the digital age.
XGBoost-based Evacuation Location Prediction
A machine learning application that predicts suitable evacuation locations during tsunami events. This project uses an XGBoost algorithm to analyze elevation, distance to coast, area type, and capacity to determine optimal evacuation sites for Padang City.
Interactive Coastal Mapping Tool
An advanced geographical mapping application that enables users to collect and manage coordinate points along coastlines. Features include multiple selection modes (Box, Line, Polygon), real-time coordinate collection, location search with geocoding, statistics dashboard, and both database saving and JSON export capabilities. Built with Leaflet.js for interactive mapping and PHP for backend data processing.
I'm always open to discussing new opportunities, collaborations, or just having a chat about technology and innovation. Let's build something amazing together!
muhammaddq16@gmail.com
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