AI, Machine Learning Internship
Resume:
NGUYEN BA PHAT
AI, Machine Learning
Male
*****************@*****.***
To Vinh Dien Street, Dong Hoa, Di
An, Binh Duong
GitHub:
https://github.com/NguyenBaPhat
Skill
Searching and comprehensive
reading professional English
materials
Having good logical thinking,
mastering Python programming
AI Frameworks and Libraries
Data Manipulation and Analysis
Independent- teamwork working
skills
Offices informatics skills
CARRIER OBJECTIVES
Constantly learning to cultivate knowledge about programming to develop professional skills.
In the next 2 years, I will become a professional AI and Machine Learning engineer. EDUCATION
2020 - 2024
HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
Majoring in Robotics and Artificial Intelligence
GPA: 8.24/10
AI PROJECT
20/05/2023 - 28/05/2023
CHESS AI USING Q-LEARNING IN REINFORCEMENT LEARNING Developed a chess-playing AI using Q-learning in Reinforcement Learning. Built a chess environment where the AI could interact and play against itself or other players. Implemented a Q-learning algorithm to enable the AI to learn and improve its playing policy over time. Successfully created an intelligent chess AI that demonstrated strong performance through testing and competition. Acquired valuable skills in Machine Learning and Reinforcement Learning, including Q-learning, state representation, and reward shaping. This project showcased my ability to apply RL techniques in real-world scenarios and furthered my understanding of AI in gaming and decision-making. 12/2022 - 01/2023
DETECTION OF PLANT DISEASES IN TOMATO LEAVES
-The objective of this project was to develop an automated system that could accurately detect diseases in tomato leaves, enabling early intervention and effective disease management.
-I utilized computer vision techniques and machine learning algorithms to analyze images of tomato leaves and identify signs of diseases.
-Through this project, I successfully developed an accurate and reliable system for detecting plant diseases in tomato leaves.
-The trained model achieved an impressive accuracy rate of over 90% in correctly identifying various diseases, enabling farmers to take timely action to mitigate crop losses.
17/09/2022 - 23/09/2022
HOUSE PRICE PREDICTION WITH LINEAR REGRESSION
-During my research and development experience, I have actively participated in a project focused on predicting house prices using machine learning techniques.
-The goal of this project was to build a robust and accurate model that could estimate the prices of residential properties.
-Successfully trained and deployed a machine learning model that accurately predicted house prices based on the provided input features.
-This project provided me with valuable hands-on experience in data preprocessing, feature engineering, model selection, and evaluation. It also enhanced my skills in collaborating with cross-functional teams and delivering impactful solutions. CERTIFICATIONS
07/12/2022
- Toeic 610
HOBBY
- CODE is passionate
- Learning new technology
- Listening to music
- Playing soccer
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