Luan Tran
+849******** # ***********@*****.*** ï www.linkedin.com/in/luann03 § https://github.com/botkttv2003 Interest
Artificial Intelligence (AI)
• Passionate about exploring machine learning algorithms, natural language processing, computer vision and large language models. Enjoy staying updated with the latest research and advancements in AI technologies. Education
Ton Duc Thang University 2021 - 2025
Senior student in Computer Science, Standard Program Ho Chi Minh, Viet Nam
• Participating in research at the laboratory of the Department of Information Technology in NLP and Data Mining
• Actively engage in extracurricular and academic activities Hung Vuong high school for the gifted 2018 - 2021
Specializing in Information Technology Gia Lai, Viet Nam 2013
Consolation prize in Mathematics at the City-Level Outstanding Student Contest Gia Lai, Viet Nam Experience
AI Academy Vietnam June 2024 – August 2024
Position: Computer Vision Intern Ha Noi, Viet Nam
• Participate in supporting practical commercial projects in businesses ICANTECH - Galaxy Education February 2023 – Today
Position: Python Programming Educator Ho Chi Minh, Viet Nam
• Taught Python programming courses, including CodeCombat and Python Pro, to middle and high school students. Projects
Underground Object Detection Python, FastAPI, yolov9-gelan-c-dect
• Annotated radar data to prepare training datasets.
• Fine-tuned YOLOv9 model parameters to enhance detection accuracy for underground objects.
• Trained the model on large datasets and evaluated the performance of models.
• Implemented optimizations that improved model efficiency and reduced inference time, enabling real-time object detection.
House Price Prediction Python - Jupyter Notebook, Tableau, Machine Learning
• Collecting data about houses (Kaggle) in order to analyze based on that data. Then, to develop a tool that can predict house prices based on input factors to determine the appropriate price for that house for purchase. Decision Making Activities Python, Tableau
• Conducted Exploratory Data Analysis (EDA) on a sales dataset from the Amazon website, including data preprocessing and identifying best-selling and slowest-selling products based on sales volume.
• Implemented data visualization techniques using Tableau to present insights and trends in the dataset.
• Enhanced the dataset by augmenting it along both the x and y axes, addressing issues related to product discounts, and refining the data for better decision-making.
• Utilized Python for data manipulation, statistical analysis, and developing algorithms to support decision-making processes.
Skills
Languages: Python, C, Java, Javascript, SQL
Technologies: Pytorch, Tensorflow, OpenCV, PySpark, Tableau, Git/GitHub English : Aptis overall CEFR level: B2 (164/200) approximately Ielts academic 5.0 - 6.0 overall