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  • Bangkok, Thailand

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Brightpmk/README.md

Computer Engineering student at Chulalongkorn University
Focused on building scalable ETL pipelines and AI-powered analytics systems.


πŸ›  Tech Stack

Data Engineering & Analytics:
Python SQL Pandas PostgreSQL SQLite Power BI Plotly

AI & App Development:
Streamlit OpenAI

Core Engineering & Tools:
Java C++ Docker AWS Git


πŸ† Flagship Project

An end-to-end data platform unifying ETL, Star Schema Modeling, and LLM-powered Insights.

I integrated my previous work on data cleaning, strategic analysis, and AI development into one comprehensive ecosystem. This project demonstrates my ability to handle the entire data lifecycle.

Key Achievements:

  • πŸ—οΈ Robust ETL Pipeline: Built modular Python/Pandas workflows to extract and validate 100k+ records from raw Brazilian e-commerce data into PostgreSQL.
  • πŸ“Š Architectural Modeling: Designed an analytical Star Schema (Fact & Dimension tables) to optimize complex revenue queries and RFM segmentation.
  • πŸ›‘οΈ Secure AI Assistant: Integrated OpenAI API with Streamlit to convert natural language to SQL, featuring a safety validation layer to prevent destructive commands (DROP/DELETE).
  • πŸ“ˆ Actionable Insights: Automated the generation of business KPIs and interactive Plotly visualizations directly from chat prompts.

Tech Stack: Python Β· PostgreSQL Β· Streamlit Β· OpenAI Β· SQLAlchemy Β· Pandas


πŸ”Ž Professional Focus

  • Data Engineering: Incremental loading, performance optimization, and pipeline orchestration.
  • Data Modeling: Designing efficient relational schemas (OLAP) for business intelligence.
  • AI Integration: Building safe and reliable LLM-based interfaces for data exploration.

🎯 Current Goals & Learning

  • ☁️ Scaling data workloads using AWS (EC2/S3).
  • πŸ”„ Mastering workflow orchestration with Apache Airflow.
  • 🐧 Strengthening Linux systems administration and deployment.

"Transforming raw data into strategic assets."

Pinned Loading

  1. olist-ecommerce-platform olist-ecommerce-platform Public

    Production-grade Modern Data Stack (MDS) pipeline built with Prefect, dbt, and Postgres. Features least-privilege DB hardening, semantic query caching (ChromaDB + OpenAI) for AI analytics, and comp…

    Jupyter Notebook 1

  2. 2110503-CEDT68/se-project-fe-68-2-expedition33 2110503-CEDT68/se-project-fe-68-2-expedition33 Public

    se-project-fe-68-2-expedition33 created by GitHub Classroom

    TypeScript 3

  3. dentist-booking-webapp dentist-booking-webapp Public

    A modern and responsive frontend web application for the Dentist Appointment System. Built with Next.js 15, React, Redux Toolkit, and Material UI.

    TypeScript

  4. dentist-backend dentist-backend Public

    A robust, scalable RESTful API for a Dentist Appointment Management System built with Node.js, Express, and MongoDB. Features advanced authentication, RBAC, and complex Mongoose queries.

    JavaScript

  5. Bailse/NoTimeToGetBadge Bailse/NoTimeToGetBadge Public

    HTML 1