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farizwebdev/README.md
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About Me

Hii there! I'm Fariz, an Informatics student based in Yogyakarta, Indonesia. 👋

Currently, I'm shifting my gears to become a Full-Stack Web Developer. I believe that building a great website isn't just about writing code it's about understanding the users (UI/UX) and the data behind it.

I love exploring different fields to strengthen my developer intuition:

  • Design Sense: Validated by winning the Website Development Competition at IOFEST 2025 (Universitas Tarumanagara).
  • Analytical Skill: Sharpened by reaching the Intermediate Level in Data Science at IDCamp 2023.

Now, I combine these skills to build web applications that are robust, data-driven, and easy to use.

  • Currently working on: Building end-to-end web solutions (Front-End & Back-End).
  • Learning in 2026: Advanced Backend Architecture, Database Optimization, & System Security.
  • Fun fact: I write code with a Data Scientist's logic and style it with an Award-Winning Designer's taste.

Tech Stack

Languages

Frameworks & Libraries

Tools & Platforms

Featured Projects


1. K.Zuma Textile Ecommerce

Role: Fullstack Web Developer at Zuma Textile Store

Next.js PostgreSQL TypeScript Prisma Cloudinary

Platform e-commerce untuk toko kain premium Zuma Textile. Fitur: - Katalog produk dengan filter & pencarian - Sistem autentikasi user & admin - Keranjang belanja & checkout - Dashboard admin untuk manajemen produk & pesanan - Upload gambar dengan Cloudinary - Database PostgreSQL dengan Prisma ORM


2. Platform TradeFariz

Role: Fullstack Web Developer & AI Integration

React Supabase TypeScript Groq AI

Asisten trading berbasis AI yang terintegrasi secara real-time dengan database Supabase. Menggunakan model Llama 3.3 (via Groq) untuk menganalisis riwayat transaksi, manajemen risiko, dan memberikan insight strategi trading yang dipersonalisasi bagi pengguna.


3. Circula Jogja

Role: AI Mobile App

Flutter Dart Supabase Llama 3

Sebuah platform asisten dapur cerdas yang dirancang untuk mengurangi food waste di kalangan mahasiswa kos Yogyakarta. Proyek ini menggabungkan manajemen inventaris bahan makanan, smart recipe aggregator berbasis AI (Llama 3), dan sistem gamifikasi (O2O) yang memberikan reward nyata berupa diskon makan di UMKM lokal.


4. Al-Quran Sentiment Analysis

Role: Data Scientist

Python Scikit-Learn Pandas

Proyek Data Science End-to-End untuk klasifikasi ulasan aplikasi. Menggunakan algoritma Logistic Regression dengan Akurasi 93%.

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