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teh72/README.md

Hi there 👋

🚀 GitHub Portfolio - Nattapong Suwansukho

👋 Hello! I'm Nattapong Suwansukho

📍 Bangkok, Thailand | 🔹 Data Engineer | 🔹 AI & IoT Enthusiast | 🔹 Energy Management

🏆 About Me

I'm a Software Developer and Data Engineer with expertise in Data Analytics, IoT, AI, and Energy Management.
My passion is leveraging technology to build intelligent systems that drive insights and optimize performance.

I have 15+ years of experience in data engineering, focusing on ETL pipelines, IoT systems, Edge Computing, and AI-driven analytics.
I also explore Agentic AI solutions and work with Generative AI for business intelligence.

🛠 Technical Skills & Tools

Programming & Scripting

  • 🐍 Python (Pandas, FastAPI, Streamlit, Selenium)
  • 🟦 JavaScript (Node.js, Next.js, React, Bun)
  • 🏗 SQL (PostgreSQL, Oracle, MySQL, SQLite)

Data & Cloud Platforms

  • 🏭 IoT & Edge Computing (AWS IoT Greengrass, Raspberry Pi, Modbus, EdgeX Foundry)
  • ☁️ Cloud (AWS, DigitalOcean, GCP)
  • 📊 Data Visualization (Apache Superset, Power BI, Tableau)
  • 🔍 RAG & AI (LangChain, LlamaIndex, OpenAI API, Hugging Face)

Development & DevOps

  • 🐳 Docker | 🛠 CI/CD | 📜 Markdown | ⚙️ Linux | 🖥️ VS Code

📌 Highlighted Projects

🔹 1. Energy Consumption Analytics for Enterprises (MVP)

📌 Description: Built an Agentic AI system that helps enterprises analyze and optimize energy consumption in real time.
🛠 Tech Stack: N8N, Flowise, Streamlit, Plotly, Next.js, PostgreSQL

🔹 2. IoT Edge Computing for Industrial Monitoring

📌 Description: Developed an Edge Computing solution using AWS IoT Greengrass + Modbus for real-time data processing in factories.
🛠 Tech Stack: Raspberry Pi, AWS IoT, EdgeX Foundry, Python, MQTT

🔹 3. AI-Powered Metadata Retrieval & Chatbot

📌 Description: Created a RAG-based AI chatbot for querying and analyzing table metadata.
🛠 Tech Stack: LangChain, LlamaIndex, Next.js, OpenAI API

🔹 4. Automated IoT Monitoring Dashboard for Solar Panels

📌 Description: Built a Python-Selenium-based system to automatically log in and retrieve solar energy data.
🛠 Tech Stack: Python, Selenium, Raspberry Pi, Streamlit

🔹 5. AI-driven ETL Framework for Data Pipeline Optimization

📌 Description: Designed and developed an AI-enhanced ETL framework to automate data transformation, validation, and orchestration for large-scale analytics pipelines.
🛠 Tech Stack: Python, Apache Airflow, PostgreSQL, Pandas, FastAPI

🌎 Where to Find Me

⭐ If you like my work, feel free to star ⭐ the repositories! 🚀

Popular repositories Loading

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