Machine Learning Deep

TRAN NGOC QUY

AI Engineer Intern

Profile

**/**/****

Male

038*******

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

https://github.com/Quytran1

https://www.linkedin.com/in/quy-tran-

2b8460282/

https://www.facebook.com/quy.tranngoc.9883

73/

6th Block, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam

Skills

Programming Languages:

• Intermediate in Python for data processing and

machine learning.

• Intermediate in C++ for IoT projects.

Machine Learning & Deep Learning:

• Fundamental understanding of ML and DL

concepts.

• Skilled in data manipulation and model

construction.

• Experienced with Keras, TensorFlow, PyTorch,

Scikit-learn, and Flask API.

Technical Skills:

• Basic Git operations for version control and

teamwork.

• Proficient in Docker for containerization and

Docker Hub for image management.

• Capable of reading and understanding English

documentation.

• Experience working with Azure.

Soft Skills:

• Team collaboration and independent work.

• Self learning and problem solving.

Objective

I am a student who just graduated with a bachelor's degree from the University of Information Technology with a strong passion for Machine Learning and AI. My goal is to excel in these fields by expanding my knowledge and engaging in real-world projects. I aim to enhance my teamwork, communication, and problem-solving skills while making meaningful contributions to AI.

Education

University of Information Technology 2020 - Now

Computer Networks and Data Communication

GPA: 8.2/10

Work experience

Research Assistant 9/2023 - 6/2024

IEC Lab of University of information Technology

Field of Reseach: AI, IoT, Open Source System Management, Healthcare Projects

DeepAir: Inception-LSTM Varian Fusion for Accurate AQI Prediction 6/2024 - 8/2024

Engineering in building and evaluate model

• Enhance air quality prediction on different air pollution datasets

• Developed deep learning models for time series data, including CNN- LSTM, BiLSTM, InceptionTime, and a proposed InceptionTime+LSTM model.

• Github: https://github.com/Quytran1/AQI-prediction-with-Inception-and- LSTM

Deep Learning Based Wavelet Transform Model for Air Quality Prediction 12/2022 - 6/2024

Research assistant in AI and IoT

• Developed an Arduino-based Air Quality Monitoring System integrating various sensors.

• Enhanced forecasting model performance through data preprocessing techniques.

• Implemented a Bidirectional Long Short-Term Memory (LSTM) Autoencoder model for forecasting .

• Integrated the AI model into the OpenRemote system using docker for seamless functionality.

• Github: https://github.com/Quytran1/Air-quality-prediction-with-BiLSTM- autoencoder-and-wavelet-transform

•The research was published at the 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR) in Da Nang. Certifications

11/2023 TOEIC LR: 820/990

11/2023 TOEIC WS: 280/400

2023 Neural Networks and Deep Learning-Coursera

SmartValuation: Data Analysis and Prediction of Used Phone Prices 2/2023 - 5/2023

Data Analysis

• Designed a program to scrape product IDs from an e-commerce website aka Tiki, fetch detailed information about Phones infomations, and filter the data to save it into a CSV file.

• Data visualization and analysis: focus on analyzing the correlation between phone prices and important parts that form phone prices.

• Use machine learning models to evaluate data.

• Github: https://github.com/Quytran1/Data-analysis-predict-usedphone- prices

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