Lê Minh Nguyên
Ho Chi Minh City · leminhnguyen.com · (+84) 789 989 016
A proactive Data Engineer with proven experience managing end-to-end data pipelines and developing interactive data dashboards. Adept at using Python, SQL, and cloud technologies like Azure to automate data workflows and enhance data handling efficiency. Combines technical engineering skills with strategic insights to translate complex data into actionable results.
Domain of knowledge: Python, SQL, R, Azure, Google Cloud, AWS, Snowflake, Fabric, Databricks, PowerBI, SSIS.
Experience
NashTech Global - Data Engineer Trainee
Apr 2026 - Jun 2026- Architected an end-to-end database infrastructure transitioning data from OLTP systems to an enterprise OLAP data warehouse, optimizing query execution and performance via advanced SQL indexing strategies.
- Engineered scalable data ingestion and preprocessing pipelines utilizing Spark Notebooks and Azure Data Solutions to streamline the merging and transformation of complex, multi-source datasets.
- Designed, developed, and documented an enterprise-grade data pipeline for the car insurance domain using a Medallion Architecture within an Agile/Scrum team environment; deployed a secure, web-embedded dashboard featuring row-level security.
Business Analytics & AI Lab - Associate Researcher
Dec 2024 - Mar 2026- Designed and executed a data collection strategy, gathering, cleaning, and preparing over 150 survey sessions to analyze social media sentiment. Conducted statistical analysis to identify key patterns in user communication.
- Managed the end-to-end data pre-processing pipeline for a business funding analysis project. Developed an interactive web-based dashboard to visualize complex data and present findings, contributing to an Excellent Paper Award.
n2nai.io - Associate
May 2025 - Dec 2025- Automated and streamlined data processing tasks for over 50 users by implementing and maintaining a workflow automation system, significantly improving data handling efficiency and reliability.
- Developed a web application using React focused on data visualization and analysis of complex biomedical image data, providing researchers with tools to interpret results and track key metrics.
- Engineered backend services and APIs using FastAPI to enable reliable and efficient data retrieval for a front-end data analysis and visualization platform.
Publications
- Trinh, V., Nguyen-Huynh, Y-N., Le, M-N., Le, Q-A., Pham, A. & Huynh, Q. Beyond the Pitch Deck: How AI is Redefining Funding Predictions. Journal of Information and Communication Convergence Engineering. 2025.
- Trinh, V., Le, M-N., Le, Q-A., Pham, A., Luu, H-V., Nguyen, H-N., Huynh, Q. & Nguyen, Q. Applicability of Deep Neural Networks in Business Decision Making and Market Investment - A Comprehensive Review. Journal of Applied Economic Sciences. 2025.
- Trinh, V., Le, M-N., Le, Q-A., Bui, D., Lai, H. & Luong, T. Understanding Sarcasm in Social Networks: An AI-Agent Dynamic Survey. In Proceedings of The 7th Asia Conference on Business and Economic Studies.
- Trinh, V., Le, M-N., Le, Q-A., Pham, A., Nguyen-Huynh, Y-N. & Huynh, Q. From Angel to Series-C: Assessing a Start-Up's Funding Opportunities. In Proceedings of The 17th International Conference on Future Information & Communication Engineering.
Recent Achievements
- 11/2024: Top 44.3% in GLOBAL CBS Case Competition 2024
- 10/2024: Top 20 in Digital Business Contest 2024
- 9/2024: Consolation prize in ROBOG 2024: The first humanoid robot AI competition in Vietnam
- 8/2024: Top 12 in Business Intelligence Season 8 competition