C A On-Site

LUONG NGOC MINH KHUE

I N T E R N S H I P A P P L I C A T I O N

035*******

************@*****.***

https://github.com/lkhue65

S U M M A R Y

Enthusiastic and motivated recent graduate with a strong background in AI engineering. Dedicated to bridging the gap between academic studies and industry practice, with a keen interest in continuous learning and development within the field. Eager to secure an internship, whether remote or on-site, to translate academic knowledge into practical experience, contribute to cutting-edge AI projects, and grow professionally.

SKILL

Programing languages:

Hard Skill:

Python, C++, Java, C#.

Data collection, Data pre-processing, feature selection, Model training and refinement

Soft Skill:

Proficient in English.

Critical thinking, Communication, Problem Solving, Teamwork.

PROJECT

Flower Classification using transfer learning models:

Data Preprocessing.

Use transfer learning models such as DenseNet, GoogLeNet, ResNet, and

VGG19 to classify images and determine which class they belong to.

Image Enhancement:

Apply the following methods sequentially to enhance the input images:

Histogram Equalization, Contrast Stretching, and Adaptive Histogram

Equalization and summarize the advantages and disadvantages of each

method.

Customer Clusterring:

Data processing and visualization.

Use 4 models: Gaussian Mixture Model, Fuzzy C-Means, DBSCAN, and

Spectral Clustering for clustering and evaluate their performance.

Use the model with the best result, which is the Gaussian Mixture Model, for

clustering and analyzing customer trends in each cluster.

EDUCATION

Sai Gon University Oct 2020- September 2024

Engineer of Information Technology

GPA: 8.79/10, 3.62/4.0

Received school scholarships in semesters

1/2020, 2/2021, 2/2022, 1/2022, and 2/2023

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