Tarathum Khunsunthieh

Final-Year Computer Engineering Student

Bangkok

Summary

Final-Year Computer Engineering Student with practical experience in data engineering, Python automation, and data visualization. Completed a remote internship with Murata Singapore and contributed to machine learning and explainable AI projects.

Overview

years of post-secondary education

Languages

Work History

Data Engineer Intern

Murata Electronics Singapore (Pte.) Ltd.

05.2024 - 07.2024

Developed interactive Power BI dashboards using DAX for product tracking, KPI monitoring, and currency exchange analysis based on data from Wireless Sensor Network (WSN), Component Material Management (CMM), and Global Component Management (GCM) systems
Retrieved, cleaned, and transformed data from internal company databases (ODBC, Oracle) using SQL
Wrote Python scripts and designed modular, scalable components to automate recurring reporting workflows and reduce manual effort
Delivered regular Power BI knowledge-sharing sessions with coworkers to support collaborative learning and skill development
Improved team collaboration by working closely with the Business Engineering team and department managers to understand reporting needs and tailor solutions accordingly

Education

High School Diploma -

Satitpattana School

Bangkok, Thailand

05.2018 - 01.2021

Bachelor of Science - Computer Engineering

SIIT, Thammasat University

Pathum Thani, Thailand

01.2022 - Current

Skills

Data pipeline design

SQL programming and database management

Python programming

Machine learning (project experience)

Data analysis and modeling

Data visualization

AWS cloud services (beginner level)

Team collaboration and communication

Time management and multitasking

Self-motivation and initiative

PAST PROJECTS

Sentiment Analysis Project: Analyzed public sentiment on Twitter during the COVID-19 pandemic using AWS, Tableau, and Hadoop
XAI Capstone Project: Predicted user agreement response levels using explainable AI (LIME, SHAP) and machine learning models based on argument-based evaluation
Art Gallery Database System: Designed and implemented a database-driven system for managing art sales and viewing, applying SQL and ER modeling
Hospital MySQL Project: Built a healthcare database for patient, appointment, and inventory tracking with ERD design and SQL scripts ensuring compliance
Diabetes Prediction Model: Built a machine learning pipeline to predict diabetes risk using medical records and evaluation metrics

Timeline