Machine Learning Data Science

Hoang-Anh Tran Data Science Intern

Ho Chi Minh City, Go Vap **********.****@*****.*** +84-944-***-*** linkedin.com/in/anhhoang03 github.com/anhhoangdev

Publications

• Predictive Model for Customer Satisfaction Analytics in E-commerce Sector Using Machine Learning and Deep Learning

Hoanh-Su Le, Vy Do Huynh Thao, Minh Nguyen Hoang, Hoang-Anh Tran, Thuy Pham Thi Thanh, Nhung Nguyen Thi, Nguyen Van Ho.

International Journal of Information Management Data Insights. DOI: 10.1016/j.jjimei.2024.100295

• LexiAdaptNet: A Data-Driven Approach to Analyze Customer Complaints Using Network Graphs and Adaptive Sentiment Dictionary

Hoang-Anh Tran, Hai-Nhu Cao Nguyen, Nha-Linh Nguyen Ngoc, Thien-Vu Tran Nguyen, Ngoc-Linh Pham, Nguyen Van Ho.

Expert Systems with Applications (Under review round 2)

• Graphic-based Comment Verification Model using Contrastive Learning Hoang-Anh Tran, Hien Tran, Hai-Nhu Cao Nguyen, Phuc Nguyen. 10th International Conference for Young Researchers in Economics and Business (ICYREB 2024) Education

University of Economics and Law, BS in Digital Business and Artificial Intelligence Aug 2021 - May 2025

• GPA: 8.52/10.0 (Transcript)

IELTS 6.5 Mar 2024

Projects

LowkeyTech Website with Deep Learning Integration

Course: Text Mining

Github Repo

• Developed an e-commerce web application for selling cellphones, integrating BERT-based Deep Learning models deployed on Microsoft Azure for real-time text mining and sentiment analysis.

• Designed and implemented a scalable system architecture using C# ASP.NET backend, Angular front-end, and shared C# components to ensure seamless integration of cloud-based AI models. Northwind Management System with Machine Learning Integration Course: Machine Learning in Business Analytics

Github Repo

• Designed and developed a comprehensive management system using Python with Model-View-Controller(MVC) architecture to ensure scalability, maintainability, and ease of development.

• Applied advanced RFM and LRFMC models combined with K-means clustering to segment customers and provide actionable insights for marketing and customer relationship management. Social Activity

Leader of Product Team, ITB CLUB - UEL – Business Intelligence Season 8 Sept 2023 – May 2024

• Led a 6-member team to develop software for organizing academic events and internal management at the University of Economics and Law.

• Developed and maintained scalable RESTful APIs using C# (.NET Core) and Django Rest Framework. Skills

Programming Languages: Python, C#, JavaScript, SQL Programming Framework: PyTorch, Tensorflow, Huggingface, PySpark, Numpy, Matplotlib, Seaborn Software and Tools: Microsoft Azure, PowerBI, Tableau, Microsoft Excel Technologies: Machine Learning, Web Development, Data Model Design, CI/CD Deployment, Docker, Hadoop, Git Languages: Vietnamese (Native), English (Full Professional Proficiency)

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