Information Technology Ho Chi

Others:

Understanding of OOP

methodologies

Experience building deep learning

models

Experience Data Analytics

TECHNICAL SKILLS

EDUCATION

University of Foreign Languages -

Information Technology

Ho Chi Minh City (HUFLIT)

2021 - Now

CONTACT

Tan Binh District, Ho Chi Minh City

****************@*****.***

+84-848-***-***

PROJECT

Intern Developer

PHAM NGOC QUANG

Programming Languages:

C#, Python, R

Database Management System:

SQL Server, Oracle

MySQL, Firebase, MongoDB

Tools/IDE:

Github, Jupyter Notebook, Google

Colab, RStudio

Visual Studio, PyCharm, Spyder

Project: Finger Counting Software

Project Description: Developed a software application that can detect and count the number of fingers shown in an image, ranging from 0 to 4, and draw bounding boxes around detected fingers. Team size: 1 - Personal Project

Project: Graph Prototypical Networks for

Few-shot Learning on Attributed Networks

Project Description: The project "Graph Prototypical Networks for Few-shot Learning on Attributed Networks" tackles the challenge of node classification in attributed networks with limited labeled instances. Using a meta-learning framework, it leverages episodic training to enhance model generalization and robustness. The project employs Graph Neural Networks (GNN) for expressive node representations and a node valuator to estimate the importance of each labeled node, refining class prototypes. This approach is applied to social network analysis, financial fraud detection, and drug discovery, achieving high accuracy and effective few-shot learning performance.

Team size: 2- Leader

Project: Brain MRI Semantic Segmentation

Project Description: This project focuses on developing a semantic segmentation model for Brain MRI images using deep learning techniques. The primary objective is to accurately segment different regions of the brain, particularly identifying and delineating tumors, to assist in medical diagnostics and treatment planning. Additionally, a web application was built using Streamlit to allow users to easily utilize the model for segmenting Brain MRI images. Team size: 2 - Leader

Technologies Used: Python, OpenCV, TensorFlow/Keras, Streamlit October 2023 - November 2023

April 2024 - June 2024

May 2024 - July 2024

LANGUAGE SKILL

English: Reading & Listening

(TOEIC: 600+)

Frameworks/ Platforms:

TensorFlow, Keras, PyTorch

Apache Spark,

Streamlit

Scikit-learn

https://github.com/QuangQuang122003

GPA: 3.02

Technologies Used: Python, PyTorch, NetworkX, NumPy. Technologies Used: Python, TensorFlow, Keras, OpenCV, NumPy

Contact this candidate