Machine Learning, Deep Learning, Natural Language Processing

NGUYEN MINH

+84-838****** ***********@*****.***

ï NguyenMinh § minhnv14099 nguyenminh4099

Long Thanh My, Thu Duc, Ho Chi Minh, Viet Nam

OBJECTIVE

AI enthusiast with strong skills in deep learning, machine learning, and data analysis. Seeking a full-time position opportunity with a focus on Machine Learning and Deep Learning to leverage academic knowledge and project experience in developing innovative solutions, with the goal of contributing to the company’s success and driving impactful results.

EDUCATION

• FPT University Ho Chi Minh, Viet Nam

Bachelor’s Degree in Artificial Intelligence Aug 2020 - Oct 2024 (Expected)

Subjects: Machine Learning, Deep Learning, Natural Language Processing, Algebra, Data Structures, Algorithms, Databases, Object-Oriented Programming (OOP).

Achievements: Excellent Student in 5/8 semesters (1 semester left).

GPA: 3.29/4.00 (1 subject left).

EXPERIENCE

Vocational

• General Era Digital Solution Joint Stock [ ] Ho Chi Minh, Viet Nam Summer Intern Researcher May 2023 - Oct 2023

Research paper to propose Artificial Intelligent solutions for reality problems.

Learn about advanced Machine Learning and Deep Learning.

Analyze real data in multiple fields.

Massive Open Online Course

• Coursera: Deep Learning [ ] Grade: 98/100

Description Jun 2023

Studied neural networks, CNNs, and RNNs, focusing on real-world applications like image recognition and NLP.

Gained experience in building models using TensorFlow and optimizing network architectures.

Applied deep learning techniques to practical tasks..

• Coursera: Natural Language Processing [ ] Grade: 95/100 Description Jul 2023

Learned key NLP techniques, including tokenization, sentiment analysis, and text classification.

Implemented RNNs, LSTMs, and transformers for machine translation, text summarization, and chatbots.

Developed practical skills in using modern NLP libraries for named entity recognition and question answering. PROJECTS

• Thesis: Vietnamese Automatic Speech Recognition Utilizing Auditory and Visual Data Aug 2024 Libraries: Transformers, PyTorch, Fairseq, NumPy, scikit-learn, Pandas [§]

Build a pipeline for collect a large mount of Vietnamese speech data and analyze collected data.

Processing data and analyze the architecture of model.

Build demo application on Gradio to predict result by with trained model.

Write the final report, prepare to write paper in the near future.

• Drowsy Detection: Using Deep Neural Network to detect person whom has drowsy signal Nov 2023 Libraries: PyTorch, NumPy, Pandas, Tensorflow, scikit-learn [§]

Research and analyze datasets about drowsy persons in font camera.

Build Deep model by using PyTorch, scikit-learn, NumPy.

Train and evaluate the built model.

Write final report and document about project.

SKILLS & BACKGROUND KNOWLEDGE

• Languages: Vietnamese: Native, English: Professional Working Proficiency.

• Programming Languages: PYTHON, JAVA, C/C++, SQL, MATLAB, PHP.

• Machine Learning Frameworks: PyTorch, TensorFlow, NumPy, Pandas, Transformers, Fairseq, Keras, PySpark.

• Web Technologies: Github, HuggingFace, StackOverFlow, Docker, Overleaf.

• Database Systems: MySQL, PostgreSQL, MongoDB, Cassandra.

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