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Machine Learning, .Net Core 6, ReactJS

Location:
Quan Thu Duc, Vietnam
Posted:
January 26, 2024

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Resume:

Summary

Projects

Education

Technical Skills

Trang Nguyễn Minh

Intern - Student

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

GPA: 3.14/4

093*******

**/****

Have a foundational understanding of programming concepts and technologies. Open to expanding new skill set by learning new programming languages. Have a willingness to adapt to emerging technologies.

Understanding basic concept of web development, acquire basic knowledge in AI/Machine Learning/Deep Learning

ĐẠI HỌC CÔNG NGHỆ THÔNG TIN – ĐẠI HỌC QUỐC GIA TPHCM Present Major: Computer Network and Data Communication

Web Development: ReactJS, Bootstrap, SQL Server, .NET Core. AI/ Machine Learning/ Big Data: Python.

Others: Embedded Systems Design, Canva, Google Docs Project: Web Development (ReactJS, Bootstrap, SQL Server, .NET Core 6) Time: 3 months

Description:

Building a blog website with basic CRUD and functionalities, encompassing both frontend

(Reactjs, Bootstrap) and backend (SQL Server, .NET Core 6): Frontend: Learn how to design and code websites, create user-friendly and interactive interfaces, as well as techniques for connecting frontend and backend to ensure data is transmitted correctly between different parts of the system Backend: Learn how to build server-side software, manage databases using SQL Server, and provide data to the frontend.

Through this project, I have gained the ability to self-learn, explore, and apply technologies in practical scenarios.

Thu Duc City, Ho Chi Minh City

Female

16/12/2002

Project: Retrieval Images about Vietnam Landmarks

Time: 3 weeks

Description:

Create a search and image query support system based on a database of images of tourist destinations and landmarks in Vietnam. In this project, I have accomplished the following tasks: Crawling Data from Google Images using BS4 and Selenium. Data filter and categorize the collected images.

Exploring the 3D RESNET model for dataset learning. Developed a web application using Streamlit for seamless deployment. Through the project, I have experienced reflect a well-rounded set of skills that span data acquisition, preprocessing, machine learning model implementation, and application development. Additionally, I have acquired valuable experience in conceptualizing ideas with teammates and conducting research, which contributed to realizing the main idea of the project. Project: Detection of Trojan Traffic using ML/DL

Time: 1 weeks

Description:

From the Trojan Detection dataset from Kaggle, using basic models in ML/DL such as Decision Tree Classifier, Random Forest Classifier, SVM, Neuron Network for training and evaluating model efficiency. Acquired foundational knowledge in machine learning (ML) and deep learning

(DL) by exploring basic models.

Project: Embedded Systems Design (LoRa/Arduino Smart Agriculture) Time: 2 months

Description:

The system involves measuring air temperature and humidity using a DHT11 sensor, as well as soil humidity. The collected sensor data is processed through an Arduino R3 board. The processed data is transmitted over a long distance using LoRa (Long Range) communication.

On the receiving end, another LoRa module captures the transmitted signals. The received signals are then fed into an Arduino, which, in turn, controls a relay to open or close a water valve

Through the project, I have gained valuable experience in conceptualizing ideas with teammates, researching, and successfully building a basic embedded system. This endeavor has provided insights into the process of collaborative teamwork, fostering an understanding of how to effectively cooperate within a group setting.



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