Hi, I'm Bun Ratnatepy

Data Science Student

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Bun Ratnatepy

Fifth-Year Data Science Student at the Institute of Technology of Cambodia

I’m a fifth-year Data Science student at the Institute of Technology of Cambodia who loves learning through curiosity and collaboration. I enjoy finding stories hidden in data and turning them into insights that make a difference. Each project and internship has taught me something new about data, teamwork, and myself and I’m excited to keep exploring how data can help solve real-world challenges.

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Academic Journey

2022 – Present

Bachelor of Engineering in Data Science
Department of Applied Mathematics and Statistics,
Institute of Technology of Cambodia (ITC)

2022

Completed Six Diploma-Level English Courses
Australia Centre for Education
Courses: Business Writing Skills, Academic Vocabulary, Creative Writing, Creative Thinking & Problem-Solving Skills, Academic Reading & Vocabulary 2, Academic Communication Skills

2021

Senior High School Certificate (Grade B, 98.41)
Cambodia

2019

General English Program
Australia Centre for Education

Technical Skills

Python SQL Power BI Machine Learning Statistical Analysis Data Visualization Critical Thinking Problem Solving Teamwork Communication Creativity

Experience

Data Analyst Intern

Ministry of Post and Telecommunications

July 24 – September 30, 2024

  • Designed and implemented an interactive dashboard to monitor telecommunication indicators.
  • Provided real-time performance insights to support data-driven decision-making.
Data Scientist Intern

Research and Data Analytics (ReDA) Lab, Institute of Technology of Cambodia (ITC)

July 21 – September 30, 2025

Project: Sentiment Analysis of Student Perceptions toward Moodle-Based Blended Learning in Higher Education

  • Cleaned and preprocessed unstructured survey data for analysis.
  • Applied k-modes clustering to identify student behavior patterns toward blended learning.
  • Performed NLP-based sentiment analysis on open-ended survey responses.
  • Developed a Power BI dashboard with refreshable data for real-time visualization and insights.

Outcome: Delivered actionable insights into student perceptions, highlighting trends and key concerns regarding Moodle-based blended learning.

Academic Projects

Linear Regression Model for Predicting Students' Performance

The developed linear regression model demonstrated promising performance on the testing set, highlighting its potential for accurately predicting students' performance based on various features. This predictive system offers valuable insights for educational institutions seeking to optimize academic outcomes.

View on GitHub
Loan Default Risk Prediction Model

Designed to assess the likelihood that a borrower will default on a loan based on income, loan amount, credit score, interest rate, and DTIRatio, achieving an accuracy of 88.37%.

View on GitHub
Disease Prediction using Machine Learning

Project Highlights:

  • Exploratory Data Analysis (EDA)
  • Model Implementation
  • Web Application Development

Successfully created a predictive tool that enhances disease diagnostics, proving the effectiveness of machine learning in improving health outcomes.

View on GitHub
Driver Drowsiness Detection

Technologies: Python, TensorFlow, OpenCV, Hadoop, Arduino

  • Built a computer vision pipeline trained on large eye closure and yawning image datasets, utilizing HDFS to scale experiments.
  • Evaluated multiple deep learning and traditional models; top CNN model delivered significantly higher accuracy than classical baselines.

Outcome: Integrated real-time inference with an Arduino-based buzzer, providing low latency alerts to improve driver safety.

View on GitHub
Traffic Sign Detection and Recognition Project

Project Highlights:

  • Real-time traffic sign detection using YOLOv8 deep learning framework.
  • Custom convolutional neural network (CNN) model developed in Keras for traffic sign classification.
  • Integration of detection and classification pipeline to analyze images and videos.
  • Visualization of detected signs with bounding boxes and labels for easy interpretation.

Technologies: Python, TensorFlow, Keras, PyTorch, Ultralytics YOLOv8, OpenCV

Outcome: Successfully implemented an end-to-end traffic sign recognition system capable of accurately detecting and classifying various traffic signs, enhancing autonomous driving and driver assistance systems.

View on GitHub

Achievements & Voluntary Involvement

24 July 2024 to 30 September 2024

Obtained Certificate of Internship from the Ministry of Post and Telecommunications.

11 August 2023

Received Certificate of Completion (Standard Level 2023) at UNESCO UNITWIN Handong Global University Data Science Camp.

2 May 2022

Volunteered in Online Korean Camp Season 13th (Artwork Team, International Youth Fellowship).

23 December 2021

Organizing committee, JCI Cambodia WE Act projects:
- JCI Skill Dev. Trainings (Aug, Project Officer)
- JCI Role Models & Career Forum (Nov, Chairperson & MC)

10 December 2021

Completed The First Aspiration Competition hosted by Ministry of Education, Youth, and Sport.

25 March 2020

Volunteered at Education USA Fair (General Volunteer, US Embassy Phnom Penh).

5 March 2020

Media Team, 8th National Debate Championship (SpringBoard4Education, Cambodia).

Certificates Collection

View my complete collection of certificates showcasing my dedication and learning journey.

View Certificates Collection (PDF)

Contact Me

Email: bunratnatepy@gmail.com

github.com/Ratnatepy

linkedin.com/in/bun-ratnatepy

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