I am a Computer Science graduate working as a Supply Chain Analyst.
I help the company by building Full-Stack software and using AI-powered IDEs to save time and automate manual
office tasks. I have experience in managing products and creating digital systems that help store branches work
faster and more accurately.
Using AI-powered IDEs to write code faster, Prompt engineering for technical solutions
Tools & DevOps
Cloud hosting (DigitalOcean), Cloudflare, Excel VBA and Power Query
Experience
Supply Chain Analyst Officer
Sept 2025 - Present
Bright Mind Retail Co., Ltd.
Full-Stack Planogram (POG) System: Developed a custom web-based system using Node.js and
React to manage shelf layouts across branches. Created an Admin Dashboard for detailed sales and stock
analysis, and a User Interface for store staff to track product locations.
AutoPO & Data Systems: Built an automated tool to collect fragmented data from multiple
sources into a PostgreSQL database. Integrated sales trends and write-off data into a calculation logic to
automate Purchase Orders (PO).
Demand Planning & Reports: Analyzed performance data at the Branch, Brand, and SKU levels
to track specific sales trends and resolve critical stock issues (Out-of-Stock/Overstock).
Marketing & IT Operations: Developed Python scripts to automatically generate over 50K
voucher codes for large-scale marketing campaigns and managed system deployment.
Workplace Automation: Successfully transformed manual paperwork and repetitive office
tasks into automated digital workflows to reduce human error and manual processing time.
Admin Dashboard
Shelf Management
Stock Analysis
Mobile View
Projects
🛍️ Nora Story (2026)
Full-stack REST API with token-based security (React, Node.js, PostgreSQL).
• Developed REST API for the project.
• Implemented CRUD operations for data management.
• Integrated token-based security system for user authentication.
• Built an e-commerce system with user and admin access control.
ReactNode.jsPostgreSQL
Homepage
Admin Dashboard
🌫️ Dust Prediction Mobile App (2024)
• Developed a model to predict dust levels using Deep Learning (RNN, LSTM) and Machine Learning (Random Forest).
• Created web service API to retrieve data and store it in a database.
• Designed and developed a mobile application for Android with UX/UI design.
• Implemented features to display real-time dust level data from the database on the mobile app.