Developed CNNs for image classification, achieving high accuracy on datasets like CIFAR-10.
Researched object detection and segmentation techniques, improving accuracy with models like YOLO and Mask R-CNN.
Deployed deep learning models for applications like facial recognition and autonomous vehicle perception, showcasing practical computer vision solutions.
Automated hyperparameter optimization via GridSearchCV and RandomizedSearchCV fine-tunes model settings efficiently, enhancing performance with minimal manual intervention.
Flexible preprocessing pipelines with scikit-learn's Pipeline class enable seamless integration of multiple data preprocessing steps, ensuring efficient and reproducible data preparation workflows.
Python for Data Science
09/2023 - 12/2023,AI4E, Vietnam
Taught comprehensive pandas data manipulation techniques, including cleaning and aggregation.
Provided introductory machine learning sessions for practical application.
Conducted hands-on workshops on NumPy and Matplotlib for effective data analysis and visualization.
Python for Django
08/2023 - 12/2023,T3H, Vietnam
Proficiency in Python programming language, with a strong understanding of Django framework fundamentals.
Familiarity with database management systems, particularly PostgreSQL or MySQL.
Basic understanding of HTML and CSS, including the ability to create simple web pages and apply basic styling.