Narinthon Tanwiboon

I am a Computer and Robotics Engineering student at Bangkok University (GPA 3.78) with a strong passion for data analysis and business analytics. I firmly believe that reliable data is the foundation of sound decision-making, and I am committed to bridging the gap between raw data and actionable insights that create real business value.

Through hands-on project experience in customer behavior analysis, automated data pipeline development, and machine learning-based classification, I have developed a balanced skill set spanning both technical capabilities (Python, SQL, data visualization, dashboard development) and business oriented competencies (requirements analysis, stakeholder communication, and data-driven presentation).

I am currently seeking an internship opportunity in Data Analytics or Business Analysis where I can apply my skills in a professional environment and contribute meaningfully to organizational goals.

Customer Behavior Analysis & Segmentation — Bank Customer Segmentation | April 2026

• Processed and cleaned 28,000+ customer records to identify 6 behavioral segments using K-Means Clustering. Translated data patterns into actionable business recommendations for targeted marketing campaigns and promotion design, with findings communicated through clear visualizations for business stakeholders.

Tools: Python, Scikit-learn, Pandas, Matplotlib, Seaborn, NumPy, K-Means

Automated Data Pipeline — Finance Market Evolution | March 2026

• Designed and developed an automated daily data pipeline to fetch stock prices for banking sector companies (SCB, KBANK, BBL, KTC) and store structured data in Cloud Storage (MinIO), demonstrating understanding of ETL processes and enterprise data architecture.

Tools: Python, MinIO, Cloud Storage, ETL Pipeline

User Requirement Analysis — Mobile User Behavior Prediction | March 2026

• Analyzed 700 smartphone usage records using a Decision Tree Classifier to identify behavioral factors influencing user segments. Translated technical findings into stakeholder ready presentations to support product feature prioritization decisions.

Tools: Python, Scikit-learn, Pandas, NumPy, Decision Tree

Data Classification — Mushroom Toxicity Classification | November – December 2025

• Applied RapidMiner to execute an end-to-end classification workflow across 8,000+ records, from data preparation to result interpretation. Presented findings to non-technical reviewers.

Tools: RapidMiner, Decision Tree, Classification Analysis

Bangkok University | 2023 – Present

Faculty of Engineering, Major: Computer and Robotics Engineering

Cumulative GPA: 3.78