Tran Ngoc Phuong Hieu
Phone: 078*******
Email: ****************@*****.***
Address: Ho Chi Minh, Viet Nam
Website:
Industrial University of Ho Chi Minh City 2021 - Present AI Engineer 10/2023 - 06/2024
Aspect Based Sentiment Analysis of User Opinions Using Deep Learning with the PHO-BERT Model
8/2023 - 12/2023
Species Identification and Classification Using Deep Learning
1/2024 - 5/2024
Image Captioning for the Blind 6/2024 - 10/2024
EDUCATION
Data Science
Fourth year of the Data Science specialization.
TECHNICAL EXPERIENCE
Freelancer Part-time
Processing and analyzing data.
Optimize the model.
Develop an AI model to classify animals on 10,000 samples Develop an AI model to evaluate customer ideas on e-commerce sites PROJECTS
Main author
Aspect-Based Sentiment Analysis Using PHO-BERT
Crawled Shopee reviews using BeautifulSoup and Requests. Used GPT-4 to label aspects with ratings (positive, neutral, negative). Preprocessed data by removing whitespace, stop words, and teen code; applied tokenization. Developed and compared models: Pho-BERT, Pho-BERT + 2 MLP, Pho-BERT + CNN + LSTM, Pho-BERT + LSTM + CNN.
Main author
Utilized the Animals dataset from Kaggle for species identification and classification tasks. Preprocessed data by cleaning, resizing images, and normalizing pixel values. Applied data augmentation techniques (e.g., rotation, flipping, and scaling) to enhance model robustness. Implemented and compared deep learning models, including DenseNet, VGG, and ResNet, for classification tasks.
Achieved accurate predictions to support species identification using advanced neural network architectures. Main author
Developed a system to generate image captions in Vietnamese to assist visually impaired individuals. Preprocessed datasets, including image resizing and text cleaning, for training. Implemented deep learning models combining CNN (for feature extraction) and LSTM (for sequence generation).
Focused on accessibility and practical applications for visually impaired users. https://github.com/TranNgocPhuongHieu
Retail Analysis 12/2023 - 2/2024
Microsoft Certified: Power BI Data Analyst Associate 2024 AWS Machine Learning Foundations 2024
WorldQuant Challenge 2023
UIT Data Science Challenge 2024 2024
Submit the paper at the Y outh Science Conference (YSC) at IUH : accepted 2024 Msc Nguyen Chi Kien - IUH
Main author
Conducted data cleaning, preprocessing, and exploratory analysis on a large retail dataset. Analyzed sales trends, customer behavior, and product performance Delivered actionable insights for optimizing inventory, marketing strategies, and sales forecasting. CERTIFICATIONS
HONORS & AWARDS
REFERENCES
SPECIALIZED SKILLS
Machine Learning, Deep Learning
Tensorflow, Pytorch.
Docker, Django, RESTful API, Airflow.
MySQL, PostgreSQL, SparkSQL
Optimize query to build predictive models using Machine Learning algorithms and Statistics. Order Skills: Crawl data with Beautiful Soup and Selenium; Having logical thinking, statistical and mathematical knowledge.
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