****: First prize in Practical & General Knowledge Excellent Student City-

level Contest.

2019: Second prize in City-level Science and Technology Competition 2018-2019.

2020: Consolation prize & Highest score in one round prize in AI Hackathon Competition.

2021: Freshman Semester Scholarship Semester 2

2019: IELTS 5.5

2023: IELTS 7.0

November 19, 2002

058*******

advqiu@r.postjobfree.com

Ho Chi Minh City, Vietnam

Male

Third-year student studying Computer Science at

the University of Science HCMC, specializing in Data Science. I have strong skills in data structures,

algorithms, and object-oriented programming. I am

passionate about Artificial Intelligence and the Data Science field, along with Education.

Language:

English, Vietnamese

Programming Fundamentals:

Python, C/C++

OOP + Data Structures & Algorithms:

Python, C/C++

Database:

SQL, MongoDB

Artificial Intelligence & Machine Learning:

Python, Julia

Version Control:

Git

NGUYỄN ĐỨC BẢO

Computer Science Junior

https://www.facebook.com/ndbaoo/

GIA DINH HIGH SCHOOL SEP 17 - JUL 20

Major: Mathematics

GPA: 9/10 (for all subjects) - 9.3/10 (for Math)

UNIVERSITY OF SCIENCE - HCMC OCT 020 - PRESENT

Major: Data Science (Information Technology High Quality Program) GPA: 3.37/4 - ĐTB: 8.09/10

SPOTIFY EDA, MUSIC TRENDS PREDICTION & GENRE

CLASSIFICATION OCT 22 - JAN 23

Python

Technology used: Visual Studio Code

Briefly explain:

Crawling music data from Spotify using API requests with OAuth, exploring and analyzing the dataset

Preprocessing the dataset and build model using Linear Regression to predict a song’s popularity score

Building models of multiple classification algorithms to classify music genre

MOVIES, SHOWS EDA & MOVIE RECOMMENDATION

SYSTEM DEC 22 - JAN 23

Python

Technology used: Visual Studio Code

Briefly explain:

Exploring, preprocessing and analyzing movies and shows data from Netflix, HBO Max and Amazon Prime

Build a movie recommendation system using K-Means clustering model

Build a dashboard to visualize analysis results using Python Streamlit

TIME SERIES PREDICTION WITH RECURRENT NEURAL

NETWORK RESEARCH PAPER NOV 22 - JAN 23

Contact information

Introduction

Skills

Education

Honors & Awards

Certifications

Projects

Scrum/Agile methodology:

Sprint planning, Sprint review, daily meeting

Python

Technology used: Visual Studio Code, Google Docs, Google Colab Briefly explain:

Researching about Time Series data and various deep learning models

Building models using RNN, LSTM, GRU and Transformer to forecast weather using dataset in Beijing, then evaluate the models

IMAGE PROCESSING & COMPRESSING JUN 22 - JULY 22

Python

Technology used: Visual Studio Code, Google Colab

Briefly explain:

Working with RGB pixel arrays using Numpy to adjust brightness, contrast, grayscale, flip, blur and crop images

Compress colors in an image without losing its information using K-Means clustering algorithm

Private Teacher Nov 20 - Sep 22

Subjects: Math, Physics, Chemistry and English (Grade 6 - 11)

- Prepare lessons, and assign and correct homework.

- Prepare and correct tests.

- Evaluate students' progress and discuss the results with students and/or their parents.

- Identify students' individual learning needs.

Work experience

Contact this candidate