Teen Depression Calculator
A web application that predicts the likelihood of depression in teenagers based on their responses to a series of questions.
Data Analyst & ML Explorer
Transforming raw data into actionable insights through analysis, machine learning, and data-driven storytelling.
A data-focused professional with a strong foundation in analysis, machine learning, and data mining. I thrive on uncovering patterns and turning complex datasets into clear, impactful solutions.


My experience spans multiple domains in tech, combining data intelligence with practical development to build impact-driven solutions.
Studying Information Systems, where I hone my analytical and technical skills, especially in data science, web development and machine learning.
Working on developing AI applications to solve problems in the Marind sub-district, to help local communities in various fields.
Successfully contributed to the development and evaluation of AI-based object detection models for aquatic weed detection using drone imagery, achieving mAP@50 scores of up to 44.7% on primary drone datasets and above 95% on secondary datasets during model experimentation and validation.
A showcase of my recent data projects, from analysis dashboards to machine learning models.
A web application that predicts the likelihood of depression in teenagers based on their responses to a series of questions.
Predicting the probability of each team winning every match in the FIFA World Cup 2026 using Machine Learning algorithms and historical data.
This project aims to predict the final results of the 2026 Formula 1 WDC and WCC using analytical modeling based on Elo Rating, Machine Learning, and Monte Carlo Simulation (10,000 iterations).
A college-developed startup platform connecting parents and pet owners with trusted, local babysitters and pet sitters.
A web application designed for fitness centers to manage gym memberships, track customer visits, and handle subscription package registration.
Have a project in mind or want to collaborate? Feel free to reach out. I'd love to hear from you.