Reliable Data Flows
Designing clean, structured data processes that can support analytics, automation, reporting, and future AI systems.
I’m Raden Jovan Aryaputra, a Bachelor of Information Technology student at the University of Technology Sydney, majoring in Data Analytics with a Cybersecurity submajor. I use code, analytics, automation, and systems thinking to turn ideas into real working products.
The portfolio is built around the areas I want to grow into professionally: data, AI, software, and infrastructure.
Designing clean, structured data processes that can support analytics, automation, reporting, and future AI systems.
Building prediction models, analysing patterns, and turning datasets into practical decision-making insights.
Creating user-facing tools, landing pages, desktop applications, and software concepts that make technical systems usable.
Understanding networks, cybersecurity, deployment, cloud foundations, and the structure behind reliable digital products.
Selected projects that show my focus across data engineering, data science, machine learning, automation, software development, and IT infrastructure. Project media previews and deeper case-study links can be added after launch.
Developed a rainfall prediction machine learning model using statistical binning and historical datasets, reaching up to 86% prediction accuracy on sample data.
Built a short-term crypto price prediction model using machine learning and technical indicators guided by Polygon.io market data, reaching up to 70% accuracy on sample data.
Created a desktop application with a graphical user interface, login system, and data management features for managing pet adoption centre records.
In-progress Make.com automation designed to receive BTC market data and generate market insights through Telegram bot notifications.
In-progress Scratch-based 2D interactive game with event triggers, sound effects, in-game logic, self-designed graphics, and gameplay interactions.
Building toward software solutions around data-related processes, automation, AI, machine learning, and business workflow improvement.
A blend of data engineering, data science, software development, automation, IT infrastructure, and professional strengths shaped through academic and independent projects.
Currently developing my technical foundation through IT, analytics, cybersecurity, and project-based learning.
University of Technology Sydney — Data Analytics Major, Cybersecurity Submajor. Awarded the Undergraduate Academic Excellence International Scholarship.
Real-world experience in fast-paced environments that strengthened my discipline, teamwork, customer service, and accountability.
Trained in a busy Dopa Donburi store, working across fast-paced restaurant operations including food preparation, customer service, teamwork, SOP adherence, and attention to detail.
Trained in customer service and essential barista operations by the owner and manager on duty, building discipline and time management in a real workplace environment.
I’m open to internships, project collaborations, startup opportunities, and roles connected to data engineering, data science, AI, automation, software development, IT infrastructure, and cybersecurity.