Lê Minh Nguyên
[email protected]

A junior AI Data Scientist/Engineer enthusiastic about leveraging technology to address practical challenges. Experienced in preparing datasets for AI model development and training, with expertise in data analysis, modeling, and AI implementation. Thrives on combining innovation, technical skills, and strategic insights.

Domain of knowledge: Python, Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, PowerBI, React, FastAPI, Docker.

Experience

Business Analytics & AI Lab - Research Associate

Dec 2024 - Present

Conducting research on the Applicability of Deep Learning in Finance, focusing on algorithmic trading strategies and algorithms.
Preparing and analyzing survey data for a dynamic AI agent to study sarcasm in social networks. Managed over 150 survey sessions and performed statistical analysis.
Collaborating on research involving the UNET+ model for business funding analysis. Responsible for data pre-processing and developing an interactive platform to visualize model outputs.

n2nai.io - Associate

May 2025 - Present

Implementing and maintaining n8n workflow automation system serving 50+ users
Developing React-based website for biomedical image processing and model training
Building secure backend services using FastAPI, implementing user authentication and authorization systems to secure data access

Publications

Trinh, V., Le, M-N., Le, Q-A., Pham, A., Luu, H-V., Nguyen, H-N., Huynh, Q., & Nguyen, Q. (2025). Applicability of deep neural networks in business decision making and market investment: A comprehensive review. Journal of Applied Economic Sciences.
Trinh, V., Le, M-N., Le, Q-A., Bui, D., Lai, H., & Luong, T. (2025). 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. (2025). 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