CHAN SOPHARA

Data Scientist Student

Transforming data into meaningful insights and building interactive solutions

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Chan Sophara

About Me

I'm a fifth-year Data Science student at ITC passionate about Data Analysis and Visualization. Skilled in Python, SQL, Machine Learning, and Power BI.

I'm seeking opportunities to apply my skills and eager to learn more in the field of data science.

Name

Chan Sophara

Email

Sopharachan90@gmail.com

Address

St. 2004, Kakab, Pou Senchey, Phnom Penh

Phone

097-351-3505

Download CV View Transcript

Programming

Python R script SQL JavaScript React Vue.js

Data Analysis

EDA Data Cleaning Statistical Analysis

ML & Computer Vision

Scikit-learn TensorFlow Keras OpenCV YOLO(v5/v8) Face Detection & Recognition

BI & Visualization

Power BI Tableau Looker Studio Metabase

Databases

PostgreSQL MySQL SQLite NoSQL

Backend & Deployment

Flask Node.js Streamlit Docker

Web Scraping

BeautifulSoup Scrapy

Other Tools

Advanced Excel Canva Adobe Illustrator Kumu.io

Experience & Education

2025

Business Networking (Internship)

KHMER ENTERPRISE (KE) | 4 Jul 2025 – 3 Oct 2025

  • Report & documentation
  • Designing visual graph for Entrepreneurial Ecosystem roadmap (EER)
  • EDA on Entrepreneurial ecosystem in Cambodia (PP, BTB, SR)
  • Social network analysis on ecosystem (Kumu.io)
2024

Junior Data Analyst (Internship)

Digital Government Committee (DGC) | 24 Jul 2024 – 30 Dec 2024

  • Data cleaning and processing
  • Extracting data through REST API
  • Creating Power BI dashboard for government products
  • Research and development on D3.js for website dashboard
  • Enhancing mobile view visualizations
2022

Bachelor Degree of Data Science

Institute of Technology of Cambodia | 2022 – Present

Major in Applied Mathematics and Statistics

2021

High School Diploma

Sovannaphumi School

Featured Projects

Rule Based Chatbot (RPC) Preview
Demo

Rule Based Chatbot (RPC)

Apr 2025

Added chatbot assistant feature in food delivery system with interactive and modern design. Created Flask server for chatbot handling orders, menu, location, offers, etc.

Python Flask JavaScript
View Code
Food Delivery System Preview
Demo

Food Delivery System

Feb - Apr 2025

Designed user-friendly front end for Khmer restaurant. Implemented back end with Flask and SQLite/MySQL. Created admin dashboard for real-time data monitoring.

HTML/CSS/JS Flask MySQL
View Code
Gym Management System Preview
Demo

Gym Management System

2025

Complete gym management solution with admin control system for member tracking, payment processing, and facility management.

Full Stack Admin Dashboard Database
View Code
Driver Drowsiness Preview
Demo

Driver Drowsiness Detection

Feb 2025

Machine learning model to detect drowsiness and alert drivers. Integrated with Arduino for real-time alerts.

Machine Learning Python Arduino
View Code
Traffic Detection Preview
Demo

Traffic Light & Sign Detection

Oct - Dec 2024

Model to detect and classify traffic lights and signs using computer vision techniques.

Computer Vision Python OpenCV
View Code
Loan Prediction Preview
Demo

Loan Prediction

Mar 2025

Applied machine learning to build a loan prediction model deployed as a web application with data analysis and visualization.

Machine Learning Python Flask
View Code

Extracurricular Activities

01

Career Fair at ITC

Engaged with industry professionals and explored career opportunities

02

Workshop about Fintech

Operated by Youth and Financial Technology

03

Introduction to Machine Learning

Operated by ITC

04

Introduction to Natural Language Processing

Operated by ITC

05

Data Science Seminar

By professor from KIT, Japan

06

Data Science Workshop

Operated by Dichi Academy

07

Digital Transformation in Engineering

Training by Board of Engineers, Cambodia

08

The Power of Data Science and Cybersecurity

Workshop at ITC by representative from USAID

09

ASEAN Data Science Explorer

Organized by SAP | Topic: Good Health & Well-being (SDG3)

10

ASEAN Data Science Finals

Top 10 National Finals (Cambodia) | Topic: Rice Production & Food Security | SDG2: Zero Hunger

View Project

Get In Touch

Let's talk

Feel free to reach out !!!

Email

Sopharachan90@gmail.com

Phone

097-351-3505

Location

Phnom Penh, Cambodia

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Rule-Based Chatbot (RPC)

A chatbot assistant integrated into a food delivery system to handle customer inquiries and orders with an interactive and modern design.

Project Details

  • Added chatbot assistant feature to existing food delivery system
  • Created separate server using Flask specifically for the chatbot functionality
  • Implemented handling for orders, menu checking, location services, special offers, social media links, and team information
  • Designed conversational flows for natural user interaction
  • Integrated with the main food delivery system's database

Technologies Used

Flask Python Natural Language Processing (NLP) JavaScript HTML/CSS
View on GitHub
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Food Delivery System

A complete food delivery platform for Khmer restaurants with customer interface, admin dashboard, and order management system.

Project Details

  • Designed user-friendly and interactive Front End using HTML, CSS, and JavaScript
  • Developed Back End using Flask server with SQLite and MySQL databases
  • Created separate Admin page and dashboard for real-time customer data monitoring
  • Implemented features for handling customer orders and printing order transcripts
  • Optimized for both desktop and mobile viewing

Technologies Used

Flask Python MySQL SQLite HTML CSS JavaScript Bootstrap
View on GitHub
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Gym Management System

A full-stack web application for managing gym memberships, staff, and facility bookings with real-time data processing.

Project Details

  • Developed responsive frontend using HTML, CSS, and JavaScript
  • Built RESTful API backend with Node.js and Express
  • Implemented CRUD operations for member and staff management
  • Designed relational database schema and deployed with XAMPP (PHPMyAdmin)
  • Created user authentication and session management
  • Integrated real-time data updates without page refresh

Key Features

  • Member registration and profile management
  • Class scheduling and booking system
  • Attendance tracking and reporting
  • Payment processing integration
  • Responsive design for all device sizes

Technologies Used

HTML5 CSS3 JavaScript Node.js Express MySQL XAMPP REST API
View on GitHub
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Driver Drowsiness Detection

This project aims to reduce accidents caused by drowsy driving by detecting signs of drowsiness in real-time and alerting the driver.

Project Details

  • Built a machine learning model to detect drowsiness using facial landmarks and eye aspect ratio
  • Implemented two models: ZFNet (89.59% accuracy) as primary and CNN (93.96% accuracy) as fallback
  • Connected with Arduino to provide physical alerts (vibration and sound) when drowsiness is detected
  • Optimized for real-time performance with OpenCV for video processing

Technologies Used

Python TensorFlow Keras OpenCV Arduino Computer Vision
View on GitHub
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Traffic Light and Sign Detection

A comprehensive system to detect and classify traffic lights and signs in real-time, suitable for autonomous vehicles and driver assistance systems.

Project Details

  • Built a model to detect traffic lights and signs using YOLOv8 with 99% image accuracy and 80% video accuracy
  • Implemented classification using CNN with 97.84% image accuracy
  • Optimized for real-time performance with frame processing at 30 FPS
  • Trained on custom dataset of Cambodian traffic signs and lights

Technologies Used

Python YOLOv8 TensorFlow OpenCV Computer Vision
View on GitHub
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Loan Prediction

A machine learning application that predicts loan default risk based on customer data, deployed as a web application.

Project Details

  • Collected and preprocessed loan data from Kaggle
  • Applied various machine learning algorithms to build prediction models
  • Performed data analysis and visualization to understand feature importance
  • Deployed the best performing model as a web application
  • Created interactive visualizations to explain model decisions

Technologies Used

Python Scikit-learn Pandas Matplotlib Seaborn Flask HTML/CSS
View on GitHub