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Job Requirment

  • Position:

    Data Analyst

    Occupation:

    Analyst/Economics

    Sub Occupation:

    Data Analysis Officer

  • Position:

    Data Engineer

    Occupation:

    Engineering

    Sub Occupation:

    Computer Engineer

Job Location

Bangkok (All)

Latest Salary

33,000 - 60,000 THB

Job Type

Full time

Availability

within 30 days

Working Bangkok

Yes

Work Upcountry

Yes

Willing to work oversea?

Yes

Education

2024 - King Mongkut's University of Technology Thonburi

Faculty:Engineering
Major:Computer Engineering
GPA 2.64 - Bachelor's Degree

Experience/ Internship

April 2024 toDecember 2025  (1 Year 8 Month)
  • Last Position:
  • Data Analyst / Data Scientist (Hybrid Role)

Job Description

  • Designed and deployed a centralized Data Warehouse (DWH) to integrate production outputs, machine logs, defect rates, and planning data from diverse manufacturing systems - Developed complex SQL Stored Procedures, data-cleaning pipelines, and ETL workflows to support daily operational analytics - Built RESTful APIs (. NET Core) enabling seamless data access for internal dashboards and automation services - Created interactive visualization dashboards (Vue. js + Plotly. js) featuring dynamic filtering, time-series views, defect distribution, and machine-level insights - Implemented a lightweight anomaly detection system using IQR, statistical thresholds, and rule-based logic to flag abnormal production patterns - Led end-to-end development from requirement gathering backend processing data modeling frontend visualization - Coordinated with cross-functional teams (Process Engineers, Quality, IT) to validate data accuracy and streamline decision-making - Improved data reliability, dashboard usability, and analysis turnaround time for real-time production monitoring - Designed and built predictive machine learning models for failure classification using Logistic Regression, Random Forest, XGBoost, and Multilayer Perceptron (MLP) - Performed comprehensive data preprocessing, including missing value handling, feature scaling, outlier removal, and feature engineering for sensor-based industrial datasets - Executed model tuning (Grid Search / Random Search), cross-validation, and confusion matrix analysis to evaluate model robustness
September 2023 toDecember 2023  (3 Month)
  • Last Position:
  • Machine Learning Intern

Job Description

  • Communicated model performance insights and recommended predictive strategies to engineering teams to support preventive maintenance planning - Strengthened experience in Scikit-learn, XGBoost, and ML workflow for real industrial applications - Conducted research under the AI Center focusing on Naive GAN and Pseudo Defect Generation, supporting defect simulation for manufacturing data - Assisted in designing synthetic data experiments and evaluating GAN-generated outputs to improve data diversity - Worked closely with researchers in computer vision and machine learning to explore generative modeling techniques - Gained hands-on experience in ML experimentation, research methodology, and academic collaboration
June 2023 toJuly 2023  (1 Month)
  • Last Position:
  • AI Research Intern / Research Exchange Student

Job Description

  • - Developed an automated email delivery system that efficiently distributes training certificates to participants of NCSA programs, ensuring timely receipt of important documents.
  • - Built a user-friendly web application for automatic certificate generation and download, significantly reducing the manual workload for staff while enhancing data accuracy and consistency.
November 2022 toJanuary 2023  (2 Month)
  • Last Position:
  • Full-Stack Developer Intern

Job Description

  • Performed manual testing for NCSA's MOOC platform, including functional testing of learning modules, user management systems, and reporting features - Maintained and updated the MOOC website by adding new courses, identifying and fixing bugs, troubleshooting issues, and supporting user inquiries - Utilized HTML, CSS, and JavaScript to develop and enhance internal web interfaces and tools - Supported the cybersecurity team by creating small internal web utilities and verifying system accuracy across various training-related platforms

Hard Skill

  •  - Scikit-learn / Beginner
  •  - C/C++ / Beginner
  •  - Vue. js / Beginner
  •  - Feature Engineering / Beginner
  •  - Plotly. js / Beginner
  •  - Anomaly Detection (IQR, Statistical Thresholds) / Beginner
  •  - Logistic Regression / Beginner
  •  - Data Integration / Beginner
  •  - MLP / Beginner
  •  - Data Warehouse (DWH) / Beginner

Soft Skill

  •  - Able to work under pressure
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