Prahyat Puangjaktha

Prahyat Puangjaktha

PhD Student | Remote Sensing & Data Science

Summary

Experienced Data Scientist with 4 years of specialized experience in data engineering, data science, deep learning, and machine learning. Proven expertise in NLP, predictive analytics, and computer vision. Skilled in working with satellite imagery and remote sensing data.

Experience

Mahidol University

PhD Student | Aug 2025 – Present

  • Studying technology for Environmental Sustainability and Disaster management.
  • Focus on applying AI and Remote Sensing for Environmental Challenges.

Freelance

Data Engineer | Data Scientist | ML Engineer | Feb 2024 – Dec 2025

  • Provided specialized services in data pipeline construction and model development.

Synapse

Machine Learning Engineer | Aug 2020 – Oct 2020

  • Studied and implemented various deep learning and machine learning models.
  • Developed face and emotion detection models.
  • Created web scraping scripts for machine learning tasks.

National Astronomical Research Institute of Thailand (NARIT)

Software Engineer Intern | Aug 2019 – Oct 2020

  • Developed a program to classify and characterize variable stars using template fitting.

GISTDA (Geo-Informatics and Space Technology Development Agency)

Software Engineer Intern | June 2019 – July 2019

  • Studied satellite communication protocols (APT and AX.25).
  • Developed software for communication with Raspberry Pi and signal transformation.

Education

Mahidol University

M.S. in Computer Science (Data Science) | 2021 – 2023

  • CGPA: 3.63
  • Relevant Coursework: Advanced AI, Data Science, NLP, Edge Computing.

Chiang Mai University

B.S. in Computer Science | 2016 – 2020

  • CGPA: 3.54
  • Relevant Coursework: Computer Vision, Data Warehousing, Pattern Recognition.

Technical Skills

  • Languages: Python, SQL, C++, Java
  • Frameworks: TensorFlow, PyTorch, Spark, Scikit-Learn, Pandas, Numpy
  • Data Engineering: AWS (Glue, S3, Redshift), Azure (Synapse, Databricks), GCP (BigQuery, Looker)
  • Tools: Docker, Conda, MLflow, Airflow, Git

Publications

  • “Paper, Meet Code”: A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories (2024)
  • Evolving Compact Prediction Model for PM2.5 level of Chiang Mai (2021)