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Machine Learning Engineering Intern

Location:
Ho Chi Minh City, Vietnam
Posted:
June 22, 2025

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Resume:

NGUYỄN CHÂU KIỆT

AI Intern, Data Scientist Intern

098******* *****************@*****.*** Thủ Đức, HCM SUMMARY

Final-year Computer Engineering student at Ho Chi Minh City University of Technology, aspiring to become a Data Engineer. Strong foundation in Python, SQL, and database design. Experienced with MATLAB in numerical computation and data analysis projects. Hands-on experience in real-world data pipelines, including weather forecasting using MLPClassifier. Skilled in data preprocessing, modeling, and web-based system integration. Eager to grow in building robust data systems and enabling data-driven business solutions. LANGUAGES

English

Proficient

SKILLS

Programming : Python

PROJECTS & EXPERIENCE

Hotel Management System

01/2024

Link : https://github.com/tison2810/hotelDatabase

• Number of members: 5

• Assigned tasks: Implementing SQL and web, drawing ERD diagram JavaScript HTML/CSS SQL

Matlab

Frameworfis : VueJS Pug

Stylus

Database : MySQL

• Frontend: HTML/CSS

• Backend: JavaScript

• Database: MySQL Tools: GitHub Jupyter Noteboofi

• Login, logout, register accounts for employees and customers

• Customer management, cashier for employees

• Book a room and utilize various services for customers.

• Employee management for managers

Front EndWebDevIntern

08/2024

• Developed features for a manga reading website using VueJS, Pug, and Stylus, following the Mobile First approach.

• Built advanced filtering (by genre, tag, status, etc.), fieyword search, pagination, darfi/light mode, and bilingual support (Vietnamese/English).

• Improved responsive UI across desktop, tablet, and mobile.

• Gained hands-on experience with Git, team collaboration, UI/UX optimization, and real-world software workflows.

WeatherForecastingUsingMulti-layerPerceptron

Classifier

04/2025

Link : https://drive.google.com/drive/folders/1drb- BKde91NPXToVHe8IgouDIKggbgyO?usp=sharing

• Conducted a research project predicting rainfall using MLPClassifier on real-world Australian weather data. Focused on preprocessing, model training, and evaluation. Achieved strong performance (F1- score: 0.84), demonstrating the potential of deep neural networks in meteorological forecasting.

LaTeX

Concepts : OOP Data Mining

Machine Learning ERP Basics

FIND ME ONLINE

Github: https://github.com/Yato742003



Contact this candidate