AI/Machine Learning Engineer

Huy Nguyen Quang

+ Di An, Binh Duong # ***.***************@*****.***.** 039*-***-*** § huynguyenquangbk04 Education

Ho Chi Minh City University of Technology/Bach Khoa University Bachelor of Science in Computer Science.

2022 - 2026 (expected)

Speciality: Applied Artificial Intelligence and Data, Security Engineering and Business Intelli- gence Data Engineering.

GPA: 3.3/4.0.

Coursework: Machine Learning, Data Mining, Big Data Analytics and Business Intelligence, Data Ware- houses and Decision Support Systems, Database Management Systems, Data Structures and Algorithms.

Orientation: Proficient in working with Big Data and applying Artificial Intelligence techniques, including Machine Learning and Deep Learning algorithms.

Achievements & Honors

1st Place Award in English 2021

Highest scorer in the English Olympic Contest, Quang Nam Province, for high school students. 1st Place Award in School 2020

Recognized as the best-performing student of the year in the entire high school. Projects

Movie Recommendation 2025

Developed a movie recommendation system using the ALS algorithm, based on a dataset of 20 million user-movie ratings. The system recommends movies that users are likely to rate above 4 out of 5.

Tools Used: Amazon S3 Bucket to store Big Data. PySpark for preprocessing, EDA and ALS algorithm using.

Link: movie recommendation 2

Financial Analysis 2025

Developed a system to predict the amount of money the customers are likely to spend based on their related information.

Tools Used: Numpy, Pandas for ETL. Google BigQuery as a data warehouse. Matplotlib and Seaborn for OLAP. Scikit-Learn and Keras for training a neural network model.

Link: financial analysis 2

Router Best Path Finding 2024

Developed a system to find the best path from source router to destination router by using SMA* algorithm, which is a memory-efficient variant of the A* search algorithm.

Tools Used: Python to implement SMA* from scratch.

Link: router best path finding 2

Skills and Background Knowledge

Programming: Python (Intermediate), C++ (Intermediate), SQL (Intermediate), MQL (Basic), R (Basic), JavaScript (Basic), HTML (Basic), CSS (Basic).

Technologies: Microsoft Office, GitHub, Microsoft SQL Server, MongoDB Atlas, Google Colab, Google Big- Query, Firebase, MATLAB, Latex.

Libraries/Frameworks: PySpark, Scikit-Learn, Pandas, NumPy, React. Certificates: IELTS 7.5.

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