Data Science Information Technology

Thang Bao Kien Nguyen

076-***-**** # *********@*****.*** + HCM, VietNam

§ github.com/Calebb0709

Summary

I am a data and AI enthusiast with a strong aptitude for learning and a proven ability to thrive under pressure. My intellectual curiosity fuelsmypassionforscientificresearchandexplorationofnewtechnologies.I excel incollaborative environments, leveraging my teamwork skills to achieve common goals. Education

University of Information Technology,Bachelor in Data Science

• GPA: 3.0/4.0

• Interest: Multi-modal, NLP (Natural Language Processing), CV (Computer Vision), AI system, Data Engineering, Cloud Computing .

Sept. 2021 - Current

(Expected May. 2025)

Technology

Skill:

• Programming : Python(proficient), C/C++, R, SQL(prior experience).

• Frameworks : PyTorch(proficient), TensorFlow, Keras, Spark(prior experience), MongDB, Docker, MLOPs.

• Tools: VSCode, Jupyter Notebook, Terminal, Google Colab, Git, PowerBI, Microsoft Azure.

Project

Real Time Sentiment Analasys for Fast Food Brand

Team project - Role: Member- Team size: 4

• Tool and Technology: Apache Airflow, Docker, Spark, Kafka,Flask, Python, MongoDB, Char.js.

• Using Apache Airflow for data pipelines, Docker for environment management, Spark for processing, and Kafka for real-time streaming. Flask will provide a Python API, MongoDB will store data, and Char.js will visualize sentiment trends on the dash- board.

• Soure code : HERE 2

UIT Data Science Challenge Group B-Vietnamese Fact Checking (09/2023-11/2023) 2 Competition project - Role: Member- Team size: 4

• Tool and Technology: Natural Language Processing, Data Analysis, Data Preprocessing, Pytorch.

• Developed a rule-based system for sentence splitting for evidence retrieval, and proposed a solution combining pre trained language models with a Support Vector Machine (SVM) kernel for verdict classification in Fact Checking.

• Achievement: Highest position in group B in the Fact Checking task.

• Soure code : HERE 2

Data Science Advanced Analysis 2023 Competition- Link Prediction for Wikipedia Articles (04/2023- 06/2023) 2 Competition project - Role: Member- Team size: 4

• Tool and Technology: Natural Language Processing, Data Analysis, Data Preprocessing, Pytorch.

• Designed a Vanilla Fully Connected Neural Network and Mutual Attention Transformer method, focusing on dual at tention tex- tual features in two nodes to address the link prediction task.

• Achievement: Nearly absolute score on the public and private tests, 4th place on the leaderboard. Accepted paper by DSAA conference.

• Soure code : HERE 2

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Experiment

Research Student- University of Information and Technology- Vietnam National Uni- versity HCM Multi-modal

• Project: Vietnamese Visual Question Answering

– Advisor : MSc. Kiet Van Nguyen and Nghia Hieu Nguyen

– Tool and Technology : PyTorch, Natural Language Processing, Computer Vision, Deep Learning.

– Construct new datasets and develop methods to improve the VQA model in the Vietnamese language.

06/2023 - Current

Natural Language Processing

• Project: Vietnamese AI Generated Detector

– Advisor :PhD. Trong-Hop Do

– Tool and Technology : PyTorch, Natural Language Processing, Deep Learning, Data Crawling.

– Build new datasets and conduct deep learning models capable of distinguishing between human-written text and AI-generated text in the education domain. 01/2024 - Current

Publications

MAT:Effective Link Prediction via Mutual Attention Transformer) 2 Accepted by Data Science Advanced Analysis Conference (DSAA) (rank A core 2021) 11/2023 ViOCRVQA: Novel Benchmark Dataset and Vision Reader for VQA by Understanding Vietnamese Text in Images 2 Information : HERE 2

ViTextVQA: A Large-Scale VQA Dataset for Evaluating Vietnamese Text Comprehension in Images 2 Information : HERE 2

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