Hello, my name

Nathaniel Steave Harjanto.

I exploring data-driven and web-based solutions.

I'm a 7th-semester Informatics student with a strong foundation in web development and database management. Currently, I’m expanding my expertise in data science to solve real-world challenges through data-driven insights and innovative digital solutions.

My Projects → Download CV

01. About Me

I'm an IT enthusiast passionate about building meaningful digital experiences through web development, data, and AI-driven solutions. With a strong foundation in Python, Java, C++, and PHP, along with hands-on experience using MySQL and Laravel, I enjoy turning complex ideas into functional, user-focused applications.

My current focus is on data science, where I explore how machine learning and data analytics can transform raw data into actionable insights. I'm driven by curiosity and a desire to keep learning — constantly experimenting with new technologies to craft innovative and impactful digital solutions that make a difference.

02. Education

Sebelas Maret University

Bachelor of Informatics (2022 - Present)

GPA: 3.53 / 4.00

Relevant Courses: Programming Concepts, Web Programming, Databases, Artificial Intelligence, Machine Learning, Data Structures and Algorithms, Data Mining.

03. Experience

IT Intern | SMKN 4 Klaten

February - April 2025

Built a web-based attendance system with geolocation using Laravel and MySQL, streamlining daily attendance tracking.
Digitized manual record processes, improving data integrity and reducing human error.
Worked across the full development cycle from requirement gathering to deployment and testing.

Independent Study - Data Science | Kampus Merdeka, Startup Campus

September - December 2024

Developed a machine learning model with Random Forest Regression to predict CO₂ emissions in Spain.
Created interactive data visualizations to uncover insights on green economic transformation.
Delivered a predictive analytics project showcased during the Selection to Showcase event.

Entrepreneurship Staff | HIMASTER

January - December 2023

Designed and published marketing visuals and social media campaigns to support business initiatives.
Managed sales operations and ensured accurate transaction tracking and revenue reporting.
Contributed to branding efforts by producing engaging promotional materials.

Fundraising Staff | P!NGFEST

March - September 2023

Organized fundraising campaigns and successfully achieved a revenue target of around Rp 10 million within six months.
Produced monthly revenue reports and optimized fund management for each project.

04. Projects

Sukha POS

A Point of Sales (POS) website for restaurants that digitizes the entire process from ordering to payment to increase efficiency.

Laravel
PHP
MySQL

CO2 Emmision Analysis

Data analysis and machine learning models to predict CO2 emissions in Spain, complemented by interactive visualizations to support sustainable decisions.

Python
Random Forest
Looker Studio

SiPETA CUACA TANI

A web-based information system that provides accurate weather predictions to help farmers plan agricultural activities effectively.

Python
Flask
Weather API

BMI Calculator

A responsive, single-page application built with HTML5, CSS3, and Vanilla JavaScript. This project features real-time calculation via DOM manipulation and a persistent dark mode toggle that saves user preference to localStorage.

HTML
CSS
JavaScript

To-Do-List

A responsive, single-page application built with HTML5, CSS3, and Vanilla JavaScript. This project demonstrates full CRUD (Create, Read, Update, Delete) functionality, persistent storage using localStorage, and date handling. Key features include task editing, deadline input, "overdue" task highlighting, and a persistent dark mode.

HTML
CSS
JavaScript
CRUD

Notes App

A dual-pane note-taking application built with HTML5, CSS3, and Vanilla JavaScript. This project features full CRUD (Create, Read, Update, Delete) functionality, auto-saving with a debounce function, and persistent data storage using localStorage.

HTML
CSS
JavaScript

AI Image Analyzer

The AI Image Analyzer is a web application front-end built to allow users to upload and analyze images using Artificial Intelligence. It provides a modern, responsive user interface where users can likely interact with an AI model (such as Google Gemini Vision) to generate descriptions, captions, or insights from images. The project is structured as a Single Page Application (SPA) with a focus on a clean and functional design.

React
Tailwind CSS
Lucide React
React Script
PostCSS & Autoprefixer

Chatbot Nexus AI

Developed a responsive conversational AI interface leveraging the Gemini 2.5 Flash model for natural language processing. The system integrates a React frontend with a Python Flask backend to deliver real-time, context-aware user interactions.