Machine Learning Data Science

NGUYEN MINH QUAN

District **, Ho Chi Minh City • ****************@*****.*** • +849******** • linkedin.com/in/quannguyen101202 github.com/ITDSIU20094

AI and Computer Vision Engineer Intern with a strong academic background in Data Science, specializing in machine learning and deep learning. Proficient in Python and experienced in managing end-to-end model development, including data preprocessing, model training, and deployment. Demonstrated ability to leverage analytical skills to create innovative AI solutions that drive business impact. Actively seeking an AI Engineer or Computer Vision position to contribute to transformative projects that enhance operational efficiency and user experience.

WORK EXPERIENCE

Data Science Intern Aug 2024 - Nov 2024

Hitachi Digital Services Vietnam Ho Chi Minh City, Vietnam In Computer Vision:

Researched foundational concepts, including Convolutional Neural Networks (CNN) and the YOLO V8 model. Utilized the CVAT platform for data annotation, employing tools like Polygon and Rectangle for precise object labeling. Evaluated datasets to identify and rectify errors, ensuring high-quality data for model training. In Data Processing & Analysis:

Cleaned, organized, and validated large datasets to ensure consistency and prepare them for Machine Learning applications. Developed Python automation scripts to compare datasets, detect discrepancies, and generate detailed reports. Significantly enhanced workflow efficiency by automating data validation and comparison tasks, minimizing manual effort and reducing errors.

PROJECTS

Flower Classification for "Petals to the Metal" Jun 2025 - Jul 2025 Developed an image classification model using TensorFlow and Keras to classify 104 different types of flowers. Implemented a transfer learning strategy by utilizing the pre-trained VGG16 model and attaching a new classification head. Engineered an efficient data pipeline to load and process image data from TFRecords, specifically for training on a Tensor Processing Unit

(TPU).

Trained the model using a custom learning rate schedule and evaluated its performance with a confusion matrix, F1-score, precision, and recall metrics.

Summer Clothing Sales Prediction on Wish E-commerce Platform Mar 2025 - Jun 2025 Applied data mining techniques to analyze and predict the sales performance of summer clothing on the Wish e-commerce platform. Performed data pre-processing, feature engineering, and implemented both classification (J48, Naive Bayes, Random Forest, SVM, k-NN) and regression (Linear Regression, Decision Tree Regression, SVR) models to predict sales volume and customer ratings. Utilized Filter and Wrapper feature selection methods to identify the most impactful attributes on sales. Evaluated models using metrics such as Precision, Recall, F1-score, Accuracy (for classification), and MAE, RMSE, R (for regression). Mouth and Oral Disease Classification using InceptionResNetV2 May 2024 - Jun 2024 Developed and implemented a Deep Learning model using PyTorch and InceptionResNetV2 to classify 7 types of oral diseases from clinical images.

Applied Transfer Learning on a pre-trained model and utilized data augmentation to expand the dataset to over 5,000 images, preventing overfitting.

Trained the model for 50 epochs, achieving an exceptional accuracy of 99.51% on the test set. Evaluated performance with confusion matrices and ROC/AUC curves, demonstrating the model's near-perfect classification capability with an AUC score of 1.00 for most classes.

EDUCATION

Bachelor of Data Science Oct 2020 - Oct 2025

International University - Vietnam National University Relevant Coursework: Statistical Methods, Data Mining, Fundamentals of Big Data Technology, Analytics for Observational Data, Scalable and Distributed Computing, Machine Learning, Deep Learning SKILLS

Frameworks & Libraries:: PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib Programming Languages:: Python, SQL, R, Java

Deep Learning & Machine Learning:: Computer Vision, Deep Learning, Transfer Learning, Model Development & Evaluation, Data Augmentation, Data Preprocessing

Developer Tools:: Git, GitHub, Jupyter Notebook, Google Colab, Visuo Studio Code

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