L Lina.
🚀 Portfolio Showcase

My Latest Works

Sales & Inventory System
Web Business App JAN 2026 - JUN 2026

Sales & Inventory System

PT Archipelago Jaya Nusantara · Full-Stack Developer

Designed and developed a centralized Laravel-based sales and inventory management system to streamline product tracking, stock levels, and daily transactions with automated reporting.

  • Inventory catalogue & alerts
  • Daily sales calculation
  • Role-Based Access Control
  • PDF and Excel auditing export
Laravel PHP MySQL XAMPP
US Ecommerce
Data Analytics July 2025

US Ecommerce Records 2020

Case Study · Data Analyst

Analyzed 2020 US e-commerce sales data using Python to uncover purchasing trends and revenue drivers. Built visualizations to evaluate customer demographics, product category performance, and regional sales distribution.

  • Python data visualization
  • Sales & demographic analysis
  • Customer segmentation
  • Data cleaning & processing
Python Pandas Data Viz Matplotlib
Diabetes Analytics
Data Analytics & BI APRIL 2025 - MAY 2025

Diabetes & Tuberculosis Mortality in Asia

Academic Case Study · Data Analyst

Analyzed diabetes and tuberculosis mortality trends across Asia using BI tools and statistical models to uncover key regional healthcare correlations and data-driven insights.

  • Geographical heatmaps
  • Regression analysis
  • Tableau dashboards
  • Data cleansing pipeline
Tableau SPSS Data Viz Statistics
Cow Farm Management
UI/UX Prototype APRIL 2025

Cow Farm Management

Academic Case Study · UI/UX Designer

Designed an intuitive UI/UX mobile app prototype for modern livestock management, enabling real-time cattle health tracking, milk yield metrics, and scheduling.

  • Cattle profile cards
  • Milk yield records
  • Feed inventory alerts
  • Accessible UI design
Figma Wireframing Prototyping
Sleep Analysis
Data Mining MAY 2024 - JUNE 2024

Sleep and Lifestyle Analysis of Gen Z

Academic Case Study · Data Miner

Built a data mining model to analyze Gen Z lifestyle metrics, utilizing decision trees to classify and predict sleep disorders based on personal health data.

  • Decision tree modeling
  • Sleep disorder classification
  • Confusion matrix evaluation
  • Lifestyle correlation analysis
WEKA Data Viz Statistics